Blind equalization and system identification: Batch processing algorithms, performance and applications

Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications

Volumn , Issue , 2006, Pages 1-469

  Chi, Chong Yung ^a   Feng, Chih Chun ^b   Chen, Chii Horng ^c   Chen, Ching Yung ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^c MEDIATEK INC   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892346241     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-84628-218-7     Document Type: Book

References (331)

1. N. Wiener, Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications. Massachusetts: MIT Press, 1949.
2. J. Makhoul, "Linear prediction: A tutorial review", Proc. IEEE, vol. 63, no. 4, pp. 561-580, Apr. 1975.
3. S. Haykin, Modern Filters. New York: Macmillan, 1989.
4. R. A. Wiggins, "Minimum entropy deconvolution", Geoexploration, vol. 16, pp. 21-35, 1978.
5. D. L. Donoho, On Minimum Entropy Deconvolution, in Applied Time Series Analysis II, D. F. Findly, ed. New York: Academic Press, 1981.
6. T. J. Ulrych and C. Walker, "Analytic minimum entropy deconvolution", Geophysics, vol. 47, no. 9, pp. 1295-1302, Sept. 1982.
7. O. Shalvi and E. Weinstein, "New criteria for blind deconvolution of nonminimum phase systems (channels)", IEEE Trans. Information Theory, vol. 36, no. 2, pp. 312-321, Mar. 1990.
8. O. Shalvi and E. Weinstein, "Super-exponential methods for blind deconvolution", IEEE Trans. Informtion Theory, vol. 39, no. 2, pp. 504-519, Mar. 1993.
9. J. M. Mendel, "Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications", Proc. IEEE, vol. 79, no. 3, pp. 278-305, Mar. 1991.
10. C. L. Nikias and A. P. Petropulu, Higher-order Spectra Analysis: A Nonlinear Signal Processing Framework. New Jersey: Prentice-Hall, 1993.
11. S. Haykin, ed., Blind Deconvolution. New Jersey: Prentice-Hall, 1994.
12. C. R. Johnson, Jr., P. Schniter, T. J. Endres, J. D. Behm, D. R. Brown, and R. A. Casas, "Blind equalization using the constant modulus criterion: A review", Proc. IEEE, vol. 86, no. 10, pp. 1927-1950, Oct. 1998.
13. J. K. Tugnait, L. Tong, and Z. Ding, "Single-user channel estimation and equalization", IEEE Signal Processing Magazine, vol. 17, no. 3, pp. 17-28, May 2000.
14. G. B. Giannakis, Y. Hua, P. Stoica, and L. Tong, ed., Signal Processing Advances in Wireless and Mobile Communications. Upper Saddle River: Prentice-Hall, 2001.
15. Z. Ding and Y. Li, ed., Blind Equalization and Identification. New York: Marcel Dekker, 2001.
16. L. Tong, G. Xu, and T. Kailath, "A new approach to blind identification and equalization of multipath channels", in Record of the 25th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, Nov. 4-6, 1991, pp. 856-860.
17. L. Tong, G. Xu and T. Kailath, "Blind identification and equalization based on second-order statistics: A time domain approach", IEEE Trans. Information Theory, vol. 40, no. 2, pp. 340-349, Mar. 1994.
18. E. Moulines, P. Duhamel, J.-F. Cardoso, and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters", IEEE Trans. Signal Processing, vol. 43, no. 2, pp. 516-525, Feb. 1995.
19. K. Abed-Meraim, E. Moulines, and P. Loubaton, "Prediction error methods for second-order blind identification", IEEE Trans. Signal Processing, vol. 45, no. 3, pp. 694-705, Mar. 1997.
20. L. Tong and S. Perreau, "Multichannel blind identification: From subspace to maximum likelihood methods", Proc. IEEE, vol. 86, no. 10, pp. 1951-1968, Oct. 1998.
21. C. B. Papadias and D. T. M. Slock, "Fractionally spaced equalization of linear polyphase channels and related blind techniques based on multichannel linear prediction", IEEE Trans. Signal Processing, vol. 47, no. 3, pp. 641-654, Mar. 1999.
22. Y. Hua and J. K. Tugnait, "Blind identifiability of FIR-MIMO systems with colored input using second-order statistics", IEEE Signal Processing Letters, vol. 7, no. 12, pp. 348-350, Dec. 2000.
23. A. Gorokhov and P. Loubaton, "Subspace-based techniques for blind separation of convolutive mixtures with temporally correlated sources", IEEE Trans. Circuits and Systems I, vol. 44, no. 9, pp. 813-820, Sept. 1997.
24. K. Abed-Meraim and Y. Hua, "Blind identification of multi-input multi-output system using minimum noise subspace", IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 254-258, Jan. 1997.
25. C. T. Ma, Z. Ding, and S. F. Yau, "A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals", IEEE Trans. Signal Processing, vol. 48, no. 4, pp. 1187-1192, Apr. 2000.
26. Y. Hua, S. An, and Y. Xiang, "Blind identification and equalization of FIR MIMO channels by BIDS", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake, Utah, May 7-11, 2001, pp. 2157-2160.
27. S. An and Y. Hua, "Blind signal separation and blind system identification of irreducible MIMO channels", in Proc. Sixth IEEE International Symposium on Signal Processing and its Applications, Kuala Lumpur, Malaysia, Aug. 13-16, 2001, pp. 276-279.
28. J. R. Treichler and M. G. Larimore, "New processing techniques based on the constant modulus adaptive algorithm", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 33, no. 2, pp. 420-431, Apr. 1985.
29. J. K. Tugnait, "Blind spatio-temporal equalization and impulse response estimation for MIMO channels using a Godard cost function", IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 268-271, Jan. 1997.
30. Y. Li and K. J. R. Liu, "Adaptive blind source separation and equalization for multiple-input/multiple-output systems", IEEE Trans. Information Theory, vol. 44, no. 7, pp. 2864-2876, Nov. 1998.
31. J. K. Tugnait, "Identification and deconvolution of multichannel linear non-Gaussian processes using higher-order statistics and inverse filter criteria", IEEE Trans. Signal Processing, vol. 45, no. 3, pp. 658-672, Mar. 1997.
32. C.-Y. Chi and C.-H. Chen, "Cumulant based inverse filter criteria for MIMO blind deconvolution: Properties, algorithms, and application to DS/CDMA systems in multipath", IEEE Trans. Signal Processing, vol. 49, no. 7, pp. 1282-1299, July 2001.
33. M. Martone, "Non-Gaussian multivariate adaptive AR estimation using the super exponential algorithm", IEEE Trans. Signal Processing, vol. 44, no. 10, pp. 2640-2644, Oct. 1996.
34. K. L. Yeung and S. F. Yau, "A cumulant-based super-exponential algorithm for blind deconvolution of multi-input multi-output systems", Signal Processing, vol. 67, no. 2, pp. 141-162, 1998.
35. Y. Inouye and K. Tanebe, "Super-exponential algorithms for multichannel blind deconvolution", IEEE Trans. Signal Processing, vol. 48, no. 3, pp. 881-888, Mar. 2000.
36. D. E. Dudgeon and R. M. Mersereau, Multidimensional Digital Signal Processing. New Jersey: Prentice-Hall, 1984.
37. S. M. Kay, Modern Spectral Estimation: Theory and Application. New Jersey: Prentice-Hall, 1988.
38. S. R. Parker and A. H. Kayran, "Lattice parameter autoregressive modeling of two-dimensional fields-Part I: The quarter-plane case", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 32, no. 4, pp. 872-885, Aug. 1984.
39. R. L. Kashyap, R. Chellappa, and A. Khotanzad, "Texture classification using features derived from random field models", Pattern Recognition Letters, vol. 1, no. 1, pp. 43-50, 1982.
40. R. L. Kashyap and R. Chellappa, "Estimation and choice of neighbors in spatialinteraction models of images", IEEE Trans. Information Theory, vol. 29, no. 1, pp. 58-72, Jan. 1983.
41. R. Chellappa and S. Chatterjee, "Classification of texture using Gaussian Markov random fields", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 33, no. 4, pp. 959-963, Apr. 1985.
42. G. Sharma and R. Chellappa, "Two-dimensional spectrum estimation using noncausal autoregressive models", IEEE Trans. Information Theory, vol. 32, no. 2, pp. 268-275, Feb. 1986.
43. A. M. Tekalp, H. Kaufman, and J. E. Woods, "Identification of image and blur parameters for the restoration of noncausal blurs", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 34, no. 4, pp. 963-972, Aug. 1986.
44. S. Bhattacharya, N. C. Ray, and S. Sinha, "2-D signal modelling and reconstruction using third-order cumulants", Signal Processing, vol. 62, pp. 61-72, 1997.
45. A. Swami, G. B. Giannakis, and J. M. Mendel, "Linear modeling of multidimensional non-Gaussian processes using cumulants", Multidimensional Systems and Signal Processing, vol. 1, pp. 11-37, 1990.
46. T. E. Hall and G. B. Giannakis, "Image modeling using inverse filtering criteria with application to textures", IEEE Trans. Image Processing, vol. 5, no. 6, pp. 938-949, June 1996.
47. J. K. Tugnait, "Estimation of linear parametric models of nonGaussian discrete random fields with application to texture synthesis", IEEE Trans. Image Processing, vol. 3, no. 2, pp. 109-127, Feb. 1994.
48. T. E. Hall and G. B. Giannakis, "Bispectral analysis and model validation of texture images", IEEE Trans. Image Processing, vol. 4, no. 7, pp. 996-1009, July 1995.
49. C.-H. Chen, C.-Y. Chi, and C.-Y. Chen, "2-D Fourier series based model for nonminimum-phase linear shift-invariant systems and texture image classification", IEEE Trans. Signal Processing, vol. 50, no. 4, pp. 945-955, Apr. 2002.
50. R. A. Horn and C. R. Johnson, Matrix Analysis. New York: Cambridge University Press, 1990.
51. G. Strang, Linear Algebra and Its Applications. New York: Harcourt Brace Jovanovich, 1988.
52. S. H. Friedberg, A. J. Insel, and L. E. Spence, Linear Algebra. New Jersey: Prentice-Hall, 1989.
53. E. Kreyszig, Advanced Engineering Mathematics. New York: John Wiley & Sons, 1999.
54. H. Stark and Y. Yang, Vector Space Projections: A Numerical Approach to Signal and Image Processing, Neural Nets, and Optics. New York: John Wiley & Sons, 1998.
55. G. H. Golub and C. F. van Loan, Matrix Computations. London: The Johns Hopkins University Press, 1989.
56. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. New Jersey: Prentice-Hall, 1993.
57. S. Haykin, Adaptive Filter Theory. New Jersey: Prentice-Hall, 1996.
58. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control. New Jersey: Prentice-Hall, 1995.
59. V. C. Klema and A. J. Laub, "The singular value decomposition: Its computation and some applications", IEEE Trans. Automatic Control, vol. AC-25, no. 2, pp. 164-176, Apr. 1980.
60. D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing. California: Brooks/Cole, 1996.
61. K. G. Binmore, Mathematical Analysis: A Straightforward Approach. New York: Cambridge University Press, 1982.
62. M. Stoll, Introduction to Real Analysis. Boston: Addison Wesley Longman, 2001.
63. E. M. Stein and R. Shakarchi, Fourier Analysis: An Introduction. New Jersey: Princeton University Press, 2003.
64. R. G. Bartle, The Elements of Real Analysis. New York: John Wiley & Sons, 1970.
65. W. R. Wade, An Introduction to Analysis. New Jersey: Prentice-Hall, 1995.
66. H. L. Royden, Real Analysis. New Jersey: Prentice-Hall, 1988.
67. E. Haug and K. K. Choi, Methods of Engineering Mathematics. New Jersey: Prentice-Hall, 1993.
68. C.-Y. Chi and M.-C. Wu, "Inverse filter criteria for blind deconvolution and equalization using two cumulants", Signal Processing, vol. 43, no. 1, pp. 55-63, Apr. 1995.
69. G. H. Hardy, J. E. Littlewood, and G. Polya, Inequalities. London: Cambridge University Press, 1934.
70. A. V. Oppenheim and A. S. Willsky with I. T. Young, Signals and Systems. New Jersey: Prentice-Hall, 1983.
71. O. K. Ersoy, Fourier-related Transforms, Fast Algorithms and Applications. New Jersey: Prentice-Hall, 1997.
72. R. N. Bracewell, The Fourier Transform and Its Applications. Boston: McGraw-Hill, 2000.
73. M. J. Lighthill, Introduction to Fourier Analysis and Generalised Functions. Cambridge: Cambridge University Press, 1958.
74. D. G. Luenberger, Linear and Nonlinear Programming. California: Addison-Wesley Publishing, 1984.
75. S. S. Rao, Engineering Optimization: Theory and Practice. New York: John Wiley & Sons, 1996.
76. D. H. Brandwood, "A complex gradient operator and its application in adaptive array theory", IEE Proc., vol. 130, pts. F and H, no. 1, pp. 11-16, Feb. 1983.
77. E. B. Saff and A. D. Snider, Fundamentals of Complex Analysis for Mathematics, Science, and Engineering. New Jersey: Prentice-Hall, 1993.
78. E. W. Swokowski, Calculus with Analytic Geometry. Boston: Prindle, Weber & Schmidt, 1983.
79. J. W. Bandler, "Optimization methods for computer-aided design", IEEE Trans. Microwave Theory and Techniques, vol. MTT-17, no. 8, pp. 533-552, Aug. 1969.
80. B. S. Gottfried and J. Weisman, Introduction to Optimization Theory. New Jersey: Prentice-Hall, 1973.
81. H. Y. Huang, "Unified approach to quadratically convergent algorithms for function minimization", Journal of Optimization Theory and Applications, vol. 5, pp. 405-423, 1970.
82. J. Stewart, Calculus: Early Transcendentals. New York: International Thomson, 1999.
83. M. R. Spiegel, Theory and Problems of Fourier Analysis with Applications to Boundary Value Problems. New York: McGraw-Hill, 1974.
84. A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing. New Jersey: Prentice-Hall, 1999.
85. S. J. Orfanidis, Introduction to Signal Processing. New Jersey: Prentice-Hall, 1996.
86. O. K. Ersoy, Fourier-related Transforms, Fast Algorithms and Applications. New Jersey: Prentice-Hall, 1997.
87. S. A. Dianat and M. R. Raghuveer, "Fast algorithms for phase and magnitude reconstruction from bispectra", Optical Engineering, vol. 29, no. 5, pp. 504-512, May 1990.
88. H.-M. Chien, H.-L. Yang, and C.-Y. Chi, "Parametric cumulant based phase estimation of 1-D and 2-D nonminimum phase systems by allpass filtering", IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1742-1762, July 1997.
89. C.-Y. Chi, "Fourier series based nonminimum phase model for statistical signal processing", IEEE Trans. Signal Processing, vol. 47, no. 8, pp. 2228-2240, Aug. 1999.
90. C.-Y. Chen and C.-Y. Chi, "Nonminimum-phase complex Fourier series based model for statistical signal processing", in Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, Caesarea, Israel, June 14-16, 1999, pp. 30-33.
91. C.-H. Chen, C.-Y. Chi, and C.-Y. Chen, "2-D Fourier series based model for nonminimum-phase linear shift-invariant systems and texture image classification", IEEE Trans. Signal Processing, vol. 50, no. 4, pp. 945-955, April 2002.
92. A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing. New Jersey: Prentice-Hall, 1989.
93. W. A. Gardner, Introduction to Random Processes with Applications to Signals and Systems. New York: McGraw-Hill, 1990.
94. A. Papoulis, Probability, Random Variables, and Stochastic Processes. New York: McGraw-Hill, 1991.
95. Y. Dodge, Ed., The Oxford Dictionary of Statistical Terms. New York: Oxford University Press, 2003.
96. P. O. Amblard, M. Gaeta, and J. L. Lacoume, "Statistics for complex variables and signals - Part I: Variables", Signal Processing, vol. 53, pp. 1-13, 1996.
97. E. A. Cornish and R. A. Fisher, "Moments and cumulants in the specification of distributions", Reviews of the International Statistical Institute, vol. 5, pp. 307-320, 1937.
98. J. M. Mendel, "Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications", Proc. IEEE, vol. 79, no. 3, pp. 278-305, Mar. 1991.
99. D. R. Brillinger, Time Series: Data Analysis and Theory. New York: McGraw-Hill, 1981.
100. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control. New Jersey: Prentice-Hall, 1995.
101. C. L. Nikias and A. P. Petropulu, Higher-order Spectra Analysis: A Nonlinear Signal Processing Framework. New Jersey: Prentice-Hall, 1993.
102. C. L. Nikias and J. M. Mendel, "Signal processing with higher-order spectra", IEEE Signal Processing Magazine, pp. 10-37, July 1993.
103. D. L. Harnett and J. L. Murphy, Introductary Statistical Analysis. California: Addison-Wesley, 1975.
104. L. Blank, Statistical Procedures for Engineering, Management, and Science. New York: McGraw-Hill, 1980.
105. S. Ghahramani, Fundamentals of Probability. New Jersey: Prentice-Hall, 2000.
106. O. Kempthorne and L. Folks, Probability, Statistics, and Data Analysis. Iowa: Iowa State Unitversity Press, 1971.
107. C. W. Therrien, Discrete Random Signals and Statistical Signal Processing. New Jersey: Prentice-Hall, 1992.
108. N. R. Goodman, "Statistical analysis based on a certain multivariate complex Gaussian distribution (an introduction)", Annals of Math. Statistics, pp. 152-177, 1963.
109. S. Haykin, Blind Deconvolution. New Jersey: Prentice-Hall, 1994.
110. T. Chonavel, Statistical Signal Processing: Modelling and Estimation. London: Springer-Verlag, 2002, translated by J. Ormrod.
111. G. L. Wise, "A cautionary aspect of stationary random processes", IEEE Trans. Circuits and Systems, vol. 38, no. 11, pp. 1409-1410, Nov. 1991.
112. J. G. Proakis, Digital Communications, 4th ed. New York: McGraw-Hill, 2001.
113. S. M. Kay, Modern Spectral Estimation: Theory and Application. New Jersey: Prentice-Hall, 1988.
114. S. Haykin, Adaptive Filter Theory. New Jersey: Prentice-Hall, 1996.
115. C. L. Nikias and M. R. Raghuveer, "Bispectrum estimation: A digital signal processing framework", Proc. IEEE, vol. 75, no. 7, pp. 869-891, July 1987.
116. D. Hatzinakos, Higher-order Spectral (H. O. S.) Analysis, in Stochastic Techniques in Digital Signal Processing Systems, Part 2 of 2, C. T. Leondes, ed. San Diego: Academic Press, 1994.
117. D. R. Brillinger, "Some history of the study of higher-order moments and spectra", in Proc. IEEE Workshop on Higher-Order Spectral Analysis, Vail, Colorado, June 28-30, 1989, pp. 41-45.
118. B. Porat, Digital Processing of Random Signals: Theory and Methods. New Jersey: Prentice-Hall, 1994.
119. G. B. Giannakis and M. K. Tsatsanis, "HOS or SOS for parametric modeling?" Proc. IEEE, pp. 3097-3100, 1991.
120. A. Swami, G. B. Giannakis, G. Zhou, and L. Srinivas, Bibliography on Higher Order Statistics. Virginia: University of Virginia, Jan. 1995.
121. P. A. Delaney and D. O. Walsh, "A bibliography of higher-order spectra and cumulants", IEEE Signal Processing Magazine, pp. 61-70, July 1994.
122. W. A. Gardner and L. E. Franks, "Characterization of cyclostationary random signal processes", IEEE Trans. Information Theory, vol. IT-21, no. 1, pp. 4-14, Jan. 1975.
123. W. A. Gardner, Cyclostationarity in Communications and Signal Processing. New York: IEEE Press, 1994.
124. H. Meyr, M. Moeneclaey, and S. A. Fechtel, Digi tal Communication Recei vers: Synchronization, Channel Estimation, and Signal Processing. New York: John Wiley & Sons, 1998.
125. W. A. Gardner, "Exploitation of spectral redundancy in cyclostationary signals", IEEE Signal Processing Magazine, pp. 14-36, Apr. 1991.
126. G. B. Giannakis, "Linear cyclic correlation approaches for blind identification of FIR channels", in Proc. IEEE 28th Asilomar Conference on Signals, Systems, and Computers, 1995, pp. 420-424.
127. W. A. Gardner and C. M. Spooner, Cyclostationary Signal Processing, in Stochastic Techniques in Digital Signal Processing Systems, Part 2 of 2, C. T. Leondes, ed. San Diego: Academic Press, 1994.
128. C. M. Spooner, Higher-order Statistics for Nonlinear Processing of Cyclostationary Signals, A Chapter in Cyclostationarity in Communications and Signal Processing, W. A. Gardner, ed. New York: IEEE Press, 1994.
129. R. L. Freeman, "Bits, symbols, bauds, and bandwidth", IEEE Communications Magazine, pp. 96-99, Apr. 1998.
130. P. P. Vaidyanathan, Multirate Systems and Filter Banks. New Jersey: Prentice-Hall, 1993.
131. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization of multipath channels", in Proc. IEEE International Conference on Communications, Chicago, June 1992, pp. 1513-1517.
132. L. Tong, G. Xu, and T. Kailath, "A new approach to blind identification and equalization of multipath channels", in Proc. IEEE 25th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, Nov. 1991, pp. 856-860.
133. Z. Ding and Y. Li, "Channel identification using second order cyclic statistics", in Proc. IEEE 26th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, Oct. 1992, pp. 334-338.
134. L. Tong, G. Xu, and T. Kailath, "Fast blind equalization via antenna arrays", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, 1993, pp. 272-275.
135. L. Izzo, A. Napolitano, and L. Paura, Cyclostationary-exploiting Methods for Multipath-channel Identification, A Chapter in Cyclostationarity in Communications and Signal Processing, W. A. Gardner ed. New York: IEEE Press, 1994.
136. Z. Ding, Blind Channel Identification and Equalization Using Spectral Correlation Measurements, Part I: Frequency-domain Analysis, A Chapter in Cyclostationarity in Communications and Signal Processing, W. A. Gardner, ed. New York: IEEE Press, 1994.
137. Z. Ding and Y. Li, "On channel identification based on second-order cyclic spectra", IEEE Trans. Signal Processing, vol. 42, no. 5, pp. 1260-1264, May 1994.
138. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization based on second-order statistics: A time domain approach", IEEE Trans. Information Theory, vol. 40, no. 2, pp. 340-349, Mar. 1994.
139. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. New Jersey: Prentice-Hall, 1993.
140. M. D. Srinath and P. K. Rajasekaran, An Introduction to Statistical Signal Processing with Applications. New York: John Wiley & Sons, 1979.
141. H. W. Sorenson, Parameter Estimation: Principles and Problems. New York: Marcel Dekker, 1985.
142. H. Stark and J. W. Woods, Probability and Random Processes with Applications to Signal Processing. New Jersey: Prentice-Hall, 2002.
143. T. B. Fomby, R. C. Hill, and S. R. Johnson, Advanced Econometric Methods. New York: Springer-Verlag, 1984.
144. T. K. Moon and W. C. Stirling, Mathematical Methods and Algorithms for Signal Processing. New Jersey: Prentice-Hall, 2000.
145. S. Haykin, ed., Blind Deconvolution. New Jersey: Prentice-Hall, 1994.
146. R. D. Gitlin and J. E. Mazo, "Comparison of some cost functions for automatic equalization", IEEE Trans. Communicatioins, vol. 21, no. 3, pp. 233-237, Mar. 1973.
147. J. G. Proakis, Digital Communications. New York: McGraw-Hill, 2001.
148. J. M. Mendel, "White-noise estimators for seismic data processing in oil exploration", IEEE Trans. Automatic Control, vol. 22, no. 5, pp. 694-706, Oct. 1977.
149. J. M. Mendel, "Single-channel white-noise estimators for deconvolution", Geophysics, vol. 43, no. 1, pp. 102-124, Feb. 1978.
150. J. M. Mendel, "Minimum-variance deconvolution", IEEE Trans. Geoscience and Remote Sensing, vol. 19, pp. 161-171, 1981.
151. C.-Y. Chi and J. M. Mendel, "Performance of minimum-variance deconvolution filter", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 32, no. 6, pp. 1145-1153, Dec. 1984.
152. C.-Y. Chi, "A further analysis for the minimum-variance deconvolution filter performance", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 35, no. 6, pp. 888-889, June 1987.
153. C.-C. Feng, "Studies on Cumulant Based Inverse Filter Criteria for Blind Deconvolution", Ph. D. Dissertation, Department of Electrical Engineering, National Tsing Hua University, Taiwan, R. O. C., June 1999.
154. C. W. Therrien, Discrete Random Signals and Statistical Signal Processing. New Jersey: Prentice-Hall, 1992.
155. S. Haykin, Adaptive Filter Theory. New Jersey: Prentice-Hall, 1996.
156. G. H. Golub and C. F. van Loan, Matrix Computations. London: The Johns Hopkins University Press, 1989.
157. M. H. Hayes, Statistical Digital Signal Processing and Modeling. New York: John Wiley & Sons, 1996.
158. J. Makhoul, "Linear prediction: A tutorial review", Proc. IEEE, vol. 63, no. 4, pp. 561-580, Apr. 1975.
159. S. Haykin, Modern Filters. New York: Macmillan, 1989.
160. J. M. Mendel, "Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications", Proc. IEEE, vol. 79, no. 3, pp. 278-305, Mar. 1991.
161. C. L. Nikias and A. P. Petropulu, Higher-order Spectra Analysis: A Nonlinear Signal Processing Framework. New Jersey: Prentice-Hall, 1993.
162. C. R. Johnson, Jr., P. Schniter, T. J. Endres, J. D. Behm, D. R. Brown, and R. A. Casas, "Blind equalization using the constant modulus criterion: A review", Proc. IEEE, vol. 86, no. 10, pp. 1927-1950, Oct. 1998.
163. J. K. Tugnait, L. Tong, and Z. Ding, "Single-user channel estimation and equalization", IEEE Signal Processing Magazine, vol. 17, no. 3, pp. 17-28, May 2000.
164. G. B. Giannakis, Y. Hua, P. Stoica, and L. Tong, ed., Signal Processing Advances in Wireless and Mobile Communications. Upper Saddle River: Prentice-Hall, 2001.
165. Z. Ding and Y. Li, ed., Blind Equalization and Identification. New York: Marcel Dekker, 2001.
166. C.-C. Feng and C.-Y. Chi, "Performance of Shalvi and Weinstein's deconvolution criteria for channels with/without zeros on the unit circle", IEEE Trans. Signal Processing, vol. 48, no. 2, pp. 571-575, Feb. 2000.
167. R. A. Wiggins, "Minimum entropy deconvolution", Geoexploration, vol. 16, pp. 21-35, 1978.
168. D. L. Donoho, On Minimum Entropy Deconvolution, in Applied Time Series Analysis II, D. F. Findly, ed. New York: Academic Press, 1981.
169. T. J. Ulrych and C. Walker, "Analytic minimum entropy deconvolution", Geophysics, vol. 47, no. 9, pp. 1295-1302, Sept. 1982.
170. O. Shalvi and E. Weinstein, "New criteria for blind deconvolution of nonminimum phase systems (channels)", IEEE Trans. Information Theory, vol. 36, no. 2, pp. 312-321, Mar. 1990.
171. J. K. Tugnait, "Inverse filter criteria for estimation of linear parametric models using higher order statistics", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, Toronto, Ontario, Canada, Apr. 14-17, 1991, pp. 3101-3104.
172. J. K. Tugnait, "Comments on 'New criteria for blind deconvolution of nonminimum phase systems (channels) '", IEEE Trans. Inform. Theory, vol. 38, no. 1, pp. 210-213, Jan. 1992.
173. J. K. Tugnait, "Estimation of linear parametric models using inverse filter criteria and higher order statistics", IEEE Trans. Signal Processing, vol. 41, no. 11, pp. 3196-3199, Nov. 1993.
174. O. Shalvi and E. Weinstein, Universal Methods for Blind Deconvolution, A Chapter in Blind Deconvolution, S. Haykin, ed. New Jersey: Prentice-Hall, 1994.
175. C.-Y. Chi and M.-C. Wu, "A unified class of inverse filter criteria using two cumulants for blind deconvolution and equalization", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Detroit, Michigan, May 9-12, 1995, pp. 1960-1963.
176. C.-Y. Chi and M.-C. Wu, "Inverse filter criteria for blind deconvolution and equalization using two cumulants", Signal Processing, vol. 43, no. 1, pp. 55-63, Apr. 1995.
177. J. A. Cadzow and X. Li, "Blind deconvolution", Digital Signal Processing Journal, vol. 5, no. 1, pp. 3-20, Jan. 1995.
178. J. A. Cadzow, "Blind deconvolution via cumulant extrema", IEEE Signal Processing Magazine, vol. 13, no. 3, pp. 24-42, May 1996.
179. O. Shalvi and E. Weinstein, "Super-exponential methods for blind deconvolution", IEEE Trans. Informtion Theory, vol. 39, no. 2, pp. 504-519, Mar. 1993.
180. C.-C. Feng and C.-Y. Chi, "A two-step lattice super-exponential algorithm for blind equalization", in Proc. Fourth Computer and Communications Symposium, Taoyuan, Taiwan, Oct. 7-8, 1998, pp. 329-335.
181. P. A. Regalia and M. Mboup, "Undermodeled equalization: a characterization of stationary points for a family of blind criteria", IEEE Trans. Signal Processing, vol. 47, no. 3, pp. 760-770, Mar. 1999.
182. C.-C. Feng and C.-Y. Chi, "Performance of cumulant based inverse filters for blind deconvolution", IEEE Trans. Signal Processing, vol. 47, no. 7, pp. 1922-1935, July 1999.
183. C.-Y. Chi, C.-Y. Chen, and B.-W. Li, "On super-exponential algorithm, constant modulus algorithm and inverse filter cirteria for blind equalization", in Proc. IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Pocono Manor, Pennsylvania, Aug. 14-16, 2000, pp. 216-220.
184. C.-Y. Chi, C.-C. Feng, and C.-Y. Chen, "Performance of super-exponential algorithm for blind equalization", in Proc. IEEE 51st Vehicular Technology Conference, Tokyo, Japan, May 15-18, 2000, pp. 1864-1868.
185. M. Gu and L. Tong, "Domains of attraction of Shalvi-Weinstein receivers", IEEE Trans. Signal Processing, vol. 49, no. 7, pp. 1397-1408, July 2001.
186. Z. Ding, C. R. Johnson, Jr., and R. A. Kennedy, Global Convergence Issues with Linear Blind Adaptive Equalizers, A Chapter in Blind Deconvolution, S. Haykin, ed. New Jersey: Prentice-Hall, 1994.
187. M. Mboup and P. A. Regalia, "On the equivalence between the superexponential algorithm and a gradient search method", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Paris, France, Mar. 15-19, 1999, pp. 2643-2646.
188. M. Mboup and P. A. Regalia, "A gradient search interpretation of the superexponential algorithm", IEEE Trans. Information Theory, vol. 46, no. 7, pp. 2731-2734, Nov. 2000.
189. I. Rodríguez, A. Mánuel, A. Carlosena, A. Bermúdez, J. del Río, and S. Shariat, "Signal processing in ocean bottom seismographs for refraction seismology", in Proc. IEEE Instrumentation and Measurement Technology Conference, Como, Italy, May 18-20, 2004, pp. 2086-2089.
190. D. D. Sternlicht, "Looking back: A history of marine seismic exploration", IEEE Potentials, vol. 18, no. 1, pp. 36-38, 1999.
191. L. C. Wood and S. Treitel, "Seismic signal processing", Proc. IEEE, vol. 63, no. 4, pp. 649-661, Apr. 1975.
192. M. T. Silvia and E. A. Robinson, Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas. Amsterdam, Netherlands: Elsevier, 1979.
193. J. M. Mendel, Optimal Seismic Deconvolution: An Estimation-based Approach. New York: Academic Press, 1983.
194. H. Luo and Y. Li, "The application of blind channel identification techniques to prestack seismic deconvolution", Proc. IEEE, vol. 86, no. 10, pp. 2082-2089, Oct. 1998.
195. E. A. Robinson and O. M. Osman, ed., Deconvolution 2, ser. Geophysics Reprint Series, no. 17. Oklahoma: Society of Exploration Geophysicists, 1996.
196. V. K. Arya and H. D. Holden, "Deconvolution of seismic data - An overview", IEEE Trans. Geoscience Electronics, vol. GE-16, no. 2, pp. 95-98, Apr. 1978.
197. J. Kormylo and J. M. Mendel, "Maximum-likelihood deconvolution", IEEE Trans. Geoscience and Remote Sensing, vol. GE-21, pp. 72-82, 1983.
198. J. M. Mendel, Maximum-likelihood Deconvolution: A Journey into Model Based Signal Processing. New York: Springer-Verlag, 1990.
199. J. M. Mendel, "Some modeling problems in reflection seismology", IEEE ASSP Magazine, pp. 4-17, Apr. 1986.
200. W. C. Gray, "Variable norm deconvolution", Ph. D. Dissertation, Dept. Geophysics, Stanford University, Aug. 1979.
201. Q. Li, B.-H. Juang, C.-H. Lee, Q. Zhou, and F. K. Soong, "Recent advancements in automatic speaker authentication", IEEE Robotics and Automation Magazine, vol. 6, no. 1, pp. 24-34, Mar. 1999.
202. L. R. Rabiner and R. W. Schafer, Digital Signal Processing of Speech Signals. New Jersey: Prentice-Hall, 1978.
203. D. O'Shaughnessy, "Speaker recognition", IEEE ASSP Magazine, pp. 4-17, Oct. 1986.
204. T. W. Parsons, Voice and Speech Processing. New York: McGraw-Hill, 1987.
205. J. M. Naik, "Speaker verification: A tutorial", IEEE Communications Magazine, vol. 28, no. 1, pp. 42-48, Jan. 1990.
206. A. S. Spanias and F. H. Wu, "Speech coding and speech recognition technologies: A review", in Proc. IEEE International Sympoisum on Circuits and Systems, vol. 1, June 11-14, 1991, pp. 572-577.
207. J. R. Deller, Jr., J. G. Proakis, and J. H. L. Hansen, Discrete-time Processing of Speech Signals. New York: Macmillan, 1993.
208. J. W. Picone, "Signal modeling techniques in speech recognition", Proc. IEEE, vol. 81, no. 9, pp. 1215-1247, Sept. 1993.
209. A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing. New Jersey: Prentice-Hall, 1989.
210. M. C. Doĝan and J. M. Mendel, "Real-time robust pitch detector", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, San Francisco, California, Mar. 23-26, 1992, pp. 129-132.
211. J. D. Markel, "The SIFT algorithm for fundamental frequency estimation", IEEE Trans. Audio and Electroacoustics, vol. AU-20, no. 5, pp. 367-377, Dec. 1972.
212. C.-Y. Chi and W.-T. Chen, The Deconvolution of Speech Signals by the Utlization of Higher-order Statistics Based Algorithms, A Chapter in Control and Dynamic Systems, part 2 of 2, C. T. Leondes, ed. New York: Academic Press, 1994.
213. H.-M. Chien, H.-L. Yang, and C.-Y. Chi, "Parametric cumulant based phase estimation of 1-D and 2-D nonminimum phase systems by allpass filtering", IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1742-1762, July 1997.
214. E. Nemer, R. Goubran, and S. Mahmoud, "The third-order cumulant of speech signals with application to reliable pitch estimation", in Proc. IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Portland, Oregon, Sept. 14-16, 1998, pp. 427-430.
215. C.-Y. Chi, "Fourier series basednonminimum phase model for statistical signal processing", IEEE Trans. Signal Processing, vol. 47, no. 8, pp. 2228-2240, Aug. 1999.
216. K. K. Paliwal and M. M. Sondhi, "Recognition of noisy speech using cumulantbased linear prediction analysis", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, Toronto, Ontario, Apr. 14-17, 1991, pp. 429-432.
217. A. Moreno, S. Tortola, J. Vidal, and J. A. R. Fonollosa, "New HOS-based parameter estimation methods for speech recognition in noisy environments", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, Detroit, Michigan, May 9-12, 1995, pp. 429-432.
218. M. C. Orr, B. J. Lithgow, and R. Mahony, "Speech features found in a continuous high order statistical analysis of speech", in Proc. the Second Joi nt EMBS/BMES Conference, vol. 1, Houston, Texas, Oct. 23-26, 2002, pp. 180-181.
219. H. Meyr, M. Moeneclaey, and S. A. Fechtel, Digi tal Communication Recei vers: Synchronization, Channel Estimation, and Signal Processing. New York: John Wiley & Sons, 1998.
220. T. S. Rappaport, Wireless Communications: Principles and Practice. New Jersey: Prentice-Hall, 1996.
221. D. Hatzinakos and C. L. Nikias, "Blind equalization using a tricepstrum-based algorithm", IEEE Trans. Communicatioins, vol. 39, no. 5, pp. 669-682, May 1991.
222. D. Hatzinakos and C. L. Nikias, Blind Equalization Based on Higher-Order Statistics (H. O. S.), A Chapter in Blind Deconvolution, S. Haykin, ed. New Jersey: Prentice-Hall, 1994.
223. Y. Sato, "A method of self-recovering equalization for multi-level amplitude modulation", IEEE Trans. Communicatioins, vol. 23, pp. 679-682, June 1975.
224. D. Godard, "Self recovering equalization and carrier tracking in two-dimensional data communication systems", IEEE Trans. Communicatioins, vol. 28, no. 11, pp. 1867-1875, Nov. 1980.
225. J. R. Treichler and B. G. Agee, "A new approach to multipath correction of constant modulus signals", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 31, no. 2, pp. 349-472, Apr. 1983.
226. J. R. Treichler and M. G. Larimore, "New processing techniques based on the constant modulus adaptive algorithm", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 33, no. 2, pp. 420-431, Apr. 1985.
227. P. A. Regalia, "On the equivalence between the Godard and Shalvi-Weinstein schemes of blind equalization", Signal Processing, vol. 73, pp. 185-190, 1999.
228. J. R. Treichler, I. Fijalkow, and C. R. Johnson, Jr., "Fractionally spaced equalizers: how long should they really be?" IEEE Signal Processing Magazine, pp. 65-81, May 1996.
229. J. R. Treichler, M. G. Larimore, and J. C. Harp, "Practical blind demodulators for high-order QAM signals", Proc. IEEE, vol. 86, no. 10, pp. 1907-1926, 1998.
230. J. Mannerkoski and V. Koivunen, "Autocorrelation properties of channel encoded sequences - Applicability to blind equalization", IEEE Trans. Signal Processing, vol. 48, no. 12, pp. 3501-3507, Dec. 2000.
231. S. U. H. Qureshi, "Adaptive equalization", Proc. IEEE, vol. 73, no. 9, pp. 1349-1387, Sept. 1985.
232. G. C. Goodwin, S. F. Graebe, and M. E. Salgado, Control System Design. New Jersey: Prentice-Hall, 2001.
233. J. M. Maciejowski, Multivariable Feedback Design. Wokingham, England: Addison-Wesley, 1989.
234. J. K. Tugnait, "Identification and deconvolution of multichannel linear non-Gaussian processes using higher-order statistics and inverse filter criteria", IEEE Trans. Signal Processing, vol. 45, no. 3, pp. 658-672, Mar. 1997.
235. Z. Ding and Y. Li, Blind Equalization and Identification. New York: Marcel Dekker, Inc., 2001.
236. J. K. Tugnait, "Blind spatio-temporal equalization and impulse response estimation for MIMO channels using a Godard cost function", IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 268-271, Jan. 1997.
237. L. Tong, G. Xu, and T. Kailath, "A new approach to blind identification and equalization of multipath channels", in Record of the 25th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 4-6, 1991, pp. 856-860.
238. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization based on second-order statistics: A time domain approach", IEEE Trans. Information Theory, vol. 40, no. 2, pp. 340-349, Mar. 1994.
239. E. Moulines, P. Duhamel, J.-F. Cardoso, and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters", IEEE Trans. Signal Processing, vol. 43, no. 2, pp. 516-525, Feb. 1995.
240. C. B. Papadias and D. T. M. Slock, "Fractionally spaced equalization of linear polyphase channels and related blind techniques based on multichannel linear prediction", IEEE Trans. Signal Processing, vol. 47, no. 3, pp. 641-654, Mar. 1999.
241. K. Abed-Meraim, E. Moulines, and P. Loubaton, "Prediction error methods for second-order blind identification", IEEE Trans. Signal Processing, vol. 45, no. 3, pp. 694-705, Mar. 1997.
242. L. Tong and S. Perreau, "Multichannel blind identification: From subspace to maximum likelihood methods", Proceedings of the IEEE, vol. 86, no. 10, pp. 1951-1968, Oct. 1998.
243. J. K. Tugnait, "On blind identifiability of multipath channels using fractional sampling and second-order cyclostationary statistics", IEEE Trans. Information Theory, vol. 41, no. 1, pp. 308-311, Jan. 1995.
244. T. Endres, B. D. O. Anderson, C. R. Johnson, and L. Tong, "On the robustness of FIR channel identification from second-order statistics", IEEE Signal Processing Letters, vol. 3, no. 5, pp. 153-155, May 1996.
245. H. Ali, J. H. Manton, and Y. Hua, "Modified channel subspace method for identification of SIMO FIR channels driven by a trailing zero filter band precoder", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, UT, USA, May 7-11, 2001, pp. 2053-2056.
246. T. Kailath, Linear Systems. New Jersey: Prentice-Hall, 1980.
247. Z. Ding, "Matrix outer-product decomposition method for blind multiple channel identification", IEEE Trans. Signal Processing, vol. 45, no. 12, pp. 3053-3061, Dec. 1997.
248. D. Gesbert and P. Duhamel, "Robust blind channel identification and equalization based on multi-step predictors", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Munich, Germany, Apr. 21-24, 1997, pp. 3621-3624.
249. Y. Hua and J. K. Tugnait, "Blind identifiability of FIR-MIMO systems with colored input using second-order statistics", IEEE Signal Processing Letters, vol. 7, no. 12, pp. 348-350, Dec. 2000.
250. A. Gorokhov and P. Loubaton, "Subspace-based techniques for blind separation of convolutive mixtures with temporally correlated sources", IEEE Trans. Circuits and Systems I, vol. 44, no. 9, pp. 813-820, Sept. 1997.
251. K. Abed-Meraim and Y. Hua, "Blind identification of multi-input multi-output system using minimum noise subspace", IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 254-258, Jan. 1997.
252. C. T. Ma, Z. Ding, and S. F. Yau, "A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals", IEEE Trans. Signal Processing, vol. 48, no. 4, pp. 1187-1192, Apr. 2000.
253. Y. Hua, S. An, and Y. Xiang, "Blind identification and equalization of FIR MIMO channels by BIDS", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, UT, USA, May 7-11, 2001, pp. 2157-2160.
254. S. An and Y. Hua, "Blind signal separation and blind system identification of irreducible MIMO channels", in Proc. Sixth IEEE International Symposium on Signal Processing and its Applications, Kuala Lumpur, Malaysia, Aug. 13-16, 2001, pp. 276-279.
255. D. T. M. Slock, "Blind fractionally-spaced equalization, perfect-reconstruction filter banks and multichannel linear prediction", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Adelaide, SA, Australia, Apr. 19-22 1994, pp. 585-588.
256. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: John Wiley, 1973.
257. S. Choi, A. Cichocki, and A. Belouchrani, "Second orderinonstati onary source separation", Journal of VLSI Signal Processing, vol. 32, no. 1-2, pp. 93-104, Aug. 2002.
258. J. K. Tugnait, "Adaptive blind separation of convolutive mixtures of independent linear signals", Signal Processing, vol. 73, no. 1-2, pp. 139-152, Feb. 1999.
259. Y. Inouye and T. Sato, "Iterative algorithms based on multistage criteria for multichannel blind deconvolution", IEEE Trans. Signal Processing, vol. 47, no. 6, pp. 1759-1764, June 1999.
260. Y. Inouye, "Criteria for blind deconvolution of multichannel linear timeinvariant systems", IEEE Trans. Signal Processing, vol. 46, no. 12, pp. 3432-3436, Dec. 1998.
261. K. L. Yeung and S. F. Yau, "A cumulant-based super-exponential algorithm for blind deconvolution of multi-input multi-output systems", Signal Processing, vol. 67, no. 2, pp. 141-162, 1998.
262. Y. Inouye and K. Tanebe, "Super-exponential algorithms for multichannel blind deconvolution", IEEE Trans. Signal Processing, vol. 48, no. 3, pp. 881-888, Mar. 2000.
263. Y. Li and Z. Ding, "Global convergence of fractionally spaced Godard (CMA) adaptive equalizers", IEEE Trans. Signal Processing, vol. 44, no. 4, pp. 818-826, Apr. 1996.
264. Z. Ding and T. Nguyen, "Stationary points of a kurtosis maximization algorithm for blind signal separation and antenna beamforming", IEEE Trans. Signal Processing, vol. 48, no. 6, pp. 1587-1596, June 2000.
265. Y. Li and K. J. R. Liu, "Adaptive blind source separation and equalization for multiple-input/multiple-output systems", IEEE Trans. Information Theory, vol. 44, no. 7, pp. 2864-2876, Nov. 1998.
266. J. Gomes and V. Barroso, "A super-exponential algorithm for blind fractionally spaced equalization", IEEE Signal Processing Letters, vol. 3, no. 10, pp. 283-285, Oct. 1996.
267. C. B. Papadias and A. J. Paulraj, "A constant modulus algorithm for multiuser signal separation in presence of delay spread using antenna arrays", IEEE Signal Processing Letters, vol. 4, no. 6, pp. 178-181, June 1997.
268. C.-Y. Chi and C.-H. Chen, "Cumulant based inverse filter criteria for MIMO blind deconvolution: Properties, algorithms, and application to DS/CDMA systems in multipath", IEEE Trans. Signal Processing, vol. 49, no. 7, pp. 1282-1299, July 2001.
269. O. Shalvi and E. Weinstein, "Super-exponential methods for blind deconvolution", IEEE Trans. Information Theory, vol. 39, no. 2, pp. 504-519, Mar. 1993.
270. C.-H. Chen, "Blind Multi-channel Equalization and Two-dimensional System Identification Using Higher-order Statistics", Ph. D. Dissertation, Department of Electrical Engineering, National Tsing Hua University, Taiwan, R. O. C., June 2001.
271. A. Touzni, I. Fijalkow, M. G. Larimore, and J. R. Treichler, "A globally convergent approach for blind MIMO adaptive deconvolution", IEEE Trans. Signal Processing, vol. 49, no. 6, pp. 1166-1178, June 2001.
272. C. B. Papadias, "Globally convergent blind source separation based on a multiuser kurtosis maximination criterion", IEEE Trans. Signal Processing, vol. 48, no. 12, pp. 3508-3519, Dec. 2000.
273. W. Qiu, Y. Hua, and K. Abed-Meraim, "A subspace method for the computation of the GCD of polynomials", Automatica, vol. 33, no. 4, pp. 741-743, Apr. 1997.
274. C.-H. Chen, "Blind Multi-channel Equalization and Two-dimensional System Identification Using Higher-order Statistics", Ph. D. Dissertation, Department of Electrical Engineering, National Tsing Hua University, Taiwan, R. O. C., June 2001.
275. Z. Ding and T. Nguyen, "Stationary points of a kurtosis maximization algorithm for blind signal separation and antenna beamforming", IEEE Trans. Signal Processing, vol. 48, no. 6, pp. 1587-1596, June 2000.
276. C.-Y. Chi, C.-Y. Chen, C.-H. Chen, C.-C. Feng, and C.-H. Peng, "Blind identification of SIMO systems and simultaneous estimation of multiple time delays from HOS-based inverse filter criteria", IEEE Trans. Signal Processing, vol. 52, no. 10, pp. 2749-2761, Oct. 2004.
277. S. M. Kay, Modern Spectral Estimation. New Jersey: Prentice-Hall, 1998.
278. Y. Ye and J. K. Tugnait, "Performance analysis of integrated polyspectrum based time delay estimators", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Detroit, MI, USA, May 9-12, 1995, pp. 3147-3150.
279. C.-Y. Chi and C.-Y. Chen, "Blind beamforming and maximum ratio combining by kurtosis maximization for source separation in multipath", in Proc. Third IEEE Workshop on Signal Processing Advances in Wireless Communications, Taoyuan, Taiwan, March 20-23, 2001, pp. 243-246.
280. S. Verdu, Multiuser Detection. Cambridge: Cambridge University Press, 1998.
281. H. V. Poor and G. W. Wornell, Wireless Communications: Signal Processing Perspective. New Jersey: Prentice-Hall, 1998.
282. H. Liu, Signal Processing Applications in CDMA Communications. Boston: Artech House, Inc., 2000.
283. A. J. Paulraj and C. B. Padadias, "Space-time processing for wireless communications", IEEE Signal Processing Magazine, vol. 14, no. 6, pp. 49-83, Nov. 1997.
284. M. K. Tsatsanis and G. B. Giannakis, "Optimal decorrelating receivers for DS-CDMA systems: A signal processing framework", IEEE Trans. Signal Processing, vol. 44, no. 12, pp. 3044-3055, Dec. 1996.
285. M. K. Tsatsanis, "Inverse filtering criteria for CDMA systems", IEEE Trans. Signal Processing, vol. 45, no. 1, pp. 102-112, Jan. 1997.
286. M. K. Tsatsanis and Z. Xu, "Performance analysis of minimum variance CDMA receivers", IEEE Trans. Signal Processing, vol. 46, no. 11, pp. 3014-3022, Nov. 1998.
287. C.-Y. Chi, C.-H. Chen, and C.-Y. Chen, "Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria", IEEE Trans. Signal Processing, vol. 50, no. 6, pp. 1368-1381, June 2002.
288. G. Leus, "Signal Processing Algorithms for CDMA-Based Wireless Communications", Ph. D. Dissertation, Faculty of Applied Sciences, K. U. Leuven, Leuven, Belgium, 2000.
289. M. K. Tsatsanis and G. B. Giannakis, "Blind estimation of direct sequence spread spectrum signals in multipath", IEEE Trans. Signal Processing, vol. 45, no. 5, pp. 1241-1251, May 1997.
290. H.-M. Chien, H.-L. Yang, and C.-Y. Chi, "Parametric cumulant based phase estimation of 1-D and 2-D nonminimum phase systems by allpass filtering", IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1742-1762, July 1997.
291. R. A. Wiggins and E. A. Robinson, "Recursive solution to the multichannel filtering problem", Journal of Geophysical Research, vol. 70, pp. 1885-1891, Apr. 1965.
292. T. L. Marzetta, "Two-dimensional linear prediction: Autocorrelation arrays, minimum-phase predictor error filters, and reflection coefficient arrays", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 28, no. 6, pp. 725-733, June 1980.
293. J. A. Lim, Two-dimensional Signal and Image Processing. New Jersey: Prentice-Hall, 1990.
294. R. L. Kashyap and R. Chellappa, "Estimation and choice of neighbors in spatialinteraction models of images", IEEE Trans. Information Theory, vol. 29, no. 1, pp. 58-72, Jan. 1983.
295. S. R. Parker and A. H. Kayran, "Lattice parameter autoregressive modeling of two-dimensional fields-Part I: The quarter-plane case", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 32, no. 4, pp. 872-885, Aug. 1984.
296. H.-M. Chien, H.-L. Yang, and C.-Y. Chi, "Parametric cumulant based phase estimation of 1-D and 2-D nonminimum phase systems by allpass filtering", IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1742-1762, July 1997.
297. C.-H. Chen, "Blind Multi-channel Equalization and Two-dimensional System Identification Using Higher-order Statistics", Ph. D. Dissertation, Department of Electrical Engineering, National Tsing Hua University, Taiwan, R. O. C., June 2001.
298. C.-H. Chen, C.-Y. Chi, and C.-Y. Chen, "2-D Fourier series based model for nonminimum-phase linear shift-invariant systems and texture image classification", IEEE Trans. Signal Processing, vol. 50, no. 4, pp. 945-955, April 2002.
299. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals. New Jersey: Prentice-Hall, 1978.
300. L. R. Rabiner, K. C. Pan, and F. K. Soong, "On the performance of isolated word speech recognizers using vector quantization and temporal energy contours", AT&T Bell Laboratories Technical Journal, vol. 63, no. 7, pp. 1245-1260, 1984.
301. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing. New Jersey: Prentice-Hall, 1989.
302. T. E. Hall and G. B. Giannakis, "Bispectral analysis and model validation of texture images", IEEE Trans. Image Processing, vol. 4, no. 7, pp. 996-1009, July 1995.
303. C. L. Nikias and A. P. Petropulu, Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework. New Jersey: Prentice-Hall, 1993.
304. P. O. Amblard, M. Gaeta and J. L. Lacoume, "Statistics for complex variables and signals-Part II: Signals", Signal Processing, vol. 53, pp. 15-25, 1996.
305. O. Shalvi and E. Weinstein, Universal methods for blind deconvolution, A Chapter in Blind Deconvolution, S. Haykin, ed. New Jersey: Prentice-Hall, 1994.
306. D. E. Dudgeon and R. M. Mersereau, Multidimensional Digital Signal Processing. New Jersey: Prentice-Hall, 1984.
307. T. E. Hall and G. B. Giannakis, "Image modeling using inverse filtering criteria with application to textures", IEEE Trans. Image Processing, vol. 5, no. 6, pp. 938-949, June 1996.
308. M. K. Tsatsanis and G. B. Giannakis, "Object and texture classification using higher order statistics", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 7, pp. 733-750, July 1992.
309. A. Swami, G. B. Giannakis, and J. M. Mendel, "Linear modeling of multidimensional non-Gaussian processes using cumulants", Multidimensional Systems and Signal Processing, vol. 1, pp. 11-37, 1990.
310. J. K. Tugnait, "Estimation of linear parametric models of nonGaussian discrete random fields with application to texture synthesis", IEEE Trans. Image Processing, vol. 3, no. 2, pp. 109-127, Feb. 1994.
311. S. Bhattacharya, N. C. Ray, and S. Sinha, "2-D signal modelling and reconstruction using third-order cumulants", Signal Processing, vol. 62, pp. 61-72, 1997.
312. C.-Y. Chi and C.-H. Chen, "Two-dimensional frequency-domain blind system identification using higher order statistics with application to texture synthesis", IEEE Trans. Signal Processing, vol. 49, no. 4, pp. 864-877, April 2001.
313. J. K. Tugnait, "Estimation of linear parametric models of nonGaussian discrete random fields with application to texture synthesis", IEEE Trans. Image Processing, vol. 3, no. 2, pp. 109-127, Feb. 1994.
314. T. E. Hall and G. B. Giannakis, "Bispectral analysis and model validation of texture images", IEEE Trans. Image Processing, vol. 4, no. 7, pp. 996-1009, July 1995.
315. T. E. Hall and G. B. Giannakis, "Image modeling using inverse filtering criteria with application to textures", IEEE Trans. Image Processing, vol. 5, no. 6, pp. 938-949, June 1996.
316. M. K. Tsatsanis and G. B. Giannakis, "Object and texture classification using higher order statistics", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 7, pp. 733-750, July 1992.
317. K. B. Eom, "2-D moving average models for texture synthesis and analysis", IEEE Trans. Image Processing, vol. 7, no. 12, pp. 1741-1746, Dec. 1998.
318. R. L. Kashyap and R. Chellappa, "Estimation and choice of neighbors in spatialinteraction models of images", IEEE Trans. Information Theory, vol. 29, no. 1, pp. 58-72, Jan. 1983.
319. R. L. Kashyap and K. B. Eom, "Robust image modeling techniques with an image restoration application", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 36, no. 8, pp. 1313-1325, Aug. 1988.
320. C.-Y. Chi and C.-H. Chen, "Two-dimensional frequency-domain blind system identification using higher order statistics with application to texture synthesis", IEEE Trans. Signal Processing, vol. 49, no. 4, pp. 864-877, April 2001.
321. C.-H. Chen, "Blind Multi-channel Equalization and Two-dimensional System Identification Using Higher-order Statistics", Ph. D. Dissertation, Department of Electrical Engineering, National Tsing Hua University, Taiwan, R. O. C., June 2001.
322. R. Chellappa and S. Chatterjee, "Classification of texture using Gaussian Markov random fields", IEEE Trans. Acoustics, Speech and Signal Processing, vol. 33, no. 4, pp. 959-963, April 1985.
323. M. H. Hayes, Statistical Digital Signal Processing and Modeling. New York: John Wiley & Sons, 1996.
324. C.-H. Chen, C.-Y. Chi, and C.-Y. Chen, "2-D Fourier series based model for nonminimum-phase linear shift-invariant systems and texture image classification", IEEE Trans. Signal Processing, vol. 50, no. 4, pp. 945-955, April 2002.
325. S. M. Kay, Modern Spectral Estimation: Theory and Application. New Jersey: Prentice-Hall, 1988.
326. D. E. Dudgeon and R. M. Mersereau, Multidimensional Digital Signal Processing. New Jersey: Prentice-Hall, 1984.
327. C.-Y. Chi, "Fourier series based nonminimum phase model for statistical signal processing", IEEE Trans. Signal Processing, vol. 47, no. 8, pp. 2228-2240, Aug. 1999.
328. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing. New Jersey: Prentice-Hall, 1989.
329. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals. New Jersey: Prentice-Hall, 1978.
330. L. R. Rabiner, K. C. Pan, and F. K. Soong, "On the performance of isolated word speech recognizers using vector quantization and temporal energy contours", AT&T Bell Laboratories Technical Journal, vol. 63, no. 7, pp. 1245-1260, 1984.
331. R. L. Kashyap, R. Chellappa, and A. Khotanzad, "Texture classification using features derived from random field models", Pattern Recognition Letters, vol. 1, no. 1, pp. 43-50, 1982.