Robust Techniques for Signal Processing: A Survey

Proceedings of the IEEE

Volumn 73, Issue 3, 1985, Pages 433-481

  Kassam, Saleem A ^a   Poor, H Vincent ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR AND NONLINEAR PROCEDURES; MINIMAX ROBUSTNESS; ROBUSTIFICATION;

CONTROL SYSTEMS - THEORY; SIGNAL FILTERING AND PREDICTION - MATHEMATICAL MODELS;

SIGNAL PROCESSING;

COMPUTER ANALYSIS; NONBIOLOGICAL MODEL; NONHUMAN; REVIEW; SIGNAL PROCESSING;

EID: 0022034007     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/PROC.1985.13167     Document Type: Article

References (210)

1. H. L. Van Trees, Detection, Estimation, and Modulation Theory, I. New York: Wiley, 1968.
2. W. L. Root, “Stability in signal detection problems,” in Proc. Symp. in Applied Mathematics, vol. 16, American Math. Soc. 1964.
3. F. R. Hampel, “A general qualitative definition of robustness,” Ann. Math. Stat., vol. 42, pp. 1887-1896, 1971.
4. Ya. Z. Tsypkin, “Adaptive optimization algorithms when there is a priori uncertainty,” Automat. Remote Contr., vol. 40, no. 6, pp. 857-868, June 1979.
5. “. W. Tukey, “A survey of sampling from contaminated distributions,” in Contributions to Probability and Statistics, I. Olkin et a/., Eds. Stanford, CA: Stanford Univ. Press, 1960.
6. P. J. Huber, “Robust estimation of a location parameter,” Ann. Math. Stat., vol. 35, pp. 73-104, 1964.
7. _____, “A robust version of the probability ratio test,” Ann. Math. Stat., vol. 36, pp. 1753-1758, 1965.
8. L. A. Zadeh, “General filters for separation of signals and noise,” in Proc. Symp. on Information Networks (Poly. Inst. of Brooklyn, Apr. 1954), pp. 31-49.
9. W. L. Root, “Communications through unspecified additive noise,” Inform. Contr., vol. 4, pp. 15-29, Mar. 1961.
10. _____, “Some notes on jamming,” MIT Lincoln Lab. Tech. Rep. 103, 1956.
11. M. C. Yovits and J. L. Jackson, “Linear filter optimization with game theory considerations,” in IRE Nat. Conv. Rec, pt. 4, pp. 193-199, 1955.
12. N. J. Nilsson, “An application of the theory of games to radar reception problems,” in IRE Nat. Conv. Rec, pt. 4, pp. 130-140, Mar. 1959.
13. L.-H. Zetterberg, “Signal detection under noise interference in a game situation,” IRE Trans. Inform. Theory, vol. IT-8, pp. 47-57, Sept. 1962.
14. N. M. Blachman, “Communication as a game,” in IRE Wescon Conv. Rec, pt. 2, pp. 61-66, Aug. 1957.
15. R. L. Dobrushin, “Optimum information transmission through a channel with unknown parameters,” Radio Eng. Electron. Phys., vol. 4, no. 12, pp. 1-8, 1959.
16. M. Yu. Gadzhiev, “Determination of the optimum variation mode of the useful signal and noise carrier frequencies in detection problems based on the theory of games,” Automat. Remote Contr, vol. 22, no. 1, pp. 31-39, 1961.
17. C. E. P. Box, “Non-normality and tests on variances,” Bio- metrika, vol. 40, pp. 318-335, 1953.
18. P. J. Huber, “Episodes from the early history of robustness,” in Abstracts of Papers: 1982 IEEE Int. Symp. on Information Theory (Les Arcs, France, June 1982), p. 72.
19. _____, “Robust statistics: A review,” Ann. Math. Stat., vol. 43, pp. 1041-1067 1972.
20. ______ Robust Statistical Procedures. Philadelphia, PA: SI AM Press, 1977.
21. F. R. Hampel, “Robust estimation: A condensed partial survey,” Z. Wahr. verw. Geb., vol. 27, pp. 87-104, 1973.
22. P. J. Bickel, “Another look at robustness: A review of reviews and some new developments,” Scand. J. Statist., vol. 3, pp. 145-168, 1976.
23. R. V. Hogg, “Adaptive robust procedures: A partial review and some suggestions for future applications and theory,” J Amer. Stat. Assoc, vol. 69, pp. 909-927, 1974.
24. ______ “Statistical robustness: One view of its use in applications today,” Amer. Statistician, vol. 33, pp. 108-115, Aug. 1979.
25. A. A. Ershov, “Stable methods of estimating parameters (survey),” Automat. Remote Contr., vol. 39, no. 7, pt. 2, pp. 1152-1181, July 1978.
26. D. F. Andrews, P. J. Bickel, F. R. Hampel, P. J. Huber, W. H. Rogers, and J. W. Tukey, Robust Estimates of Location: Survey and Advances. Princeton, NJ: Princeton Univ. Press, 1972.
27. R. L. Launer and C. N. Wilkinson, Eds., Robustness in Statistics. New York: Academic Press, 1979.
28. P. J. Huber, Robust Statistics. New York: Wiley, 1981.
29. S. S. Wolff and J. L. Gastwirth, “Robust two-input correlators,” Acoust. Soc. Amer., vol. 41, pp. 1212-1219, May 1967.
30. R. D. Martin and S. C. Schwartz, “Robust detection of a known signal in nearly Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-17, pp. 50-56, Jan. 1971.
31. S. A. Kassam and H. V. Poor, “Robust signal processing for communication systems,” IEEE Commun. Mag., vol. 21, pp. 20-28, Jan. 1983.
32. V. D. VandeLinde, “Robust techniques in communication,” in Robustness in Statistics, R. L. Launer and C. N. Wilkinson, Eds. New York: Academic Press, 1979, pp. 177-200.
33. V. M. Krasnenker, “Stable (robust) detection methods for signals against a noise background (survey),” Automat. Remote Contr, vol. 41, no. 5, pt. 1, pp. 640-659, May 1980.
34. H. V. Poor, “Robustness in signal detection,” in Communications and Networks: A Survey of Recent Advances, I. F. Blake and H. V. Poor, Eds. New York: Springer-Verlag, 1985 (to appear).
35. B. Kleiner, R. D. Martin, and D. J. Thomson, “Robust estimation of power spectra,” j. Roy. Stat. Soc, Ser. B, vol. 41, no. 3, pp. 313-351, 1979.
36. R. D. Martin and D. J. Thomson, “Robust-resistant spectrum estimation,” Proc. IEEE, vol. 70, pp. 1097-1115, Sept. 1982.
37. R. D. Martin, “Robust methods for time series,” in Applied Time Series II, D. F. Findley, Ed. New York: Academic Press, 1981.
38. B. T. Poljak and Ya. Z. Tsypkin, “Robust identification,” Automatica, vol. 16, pp. 53-63, 1980.
39. J. B. Thomas, An Introduction to Statistical Communication Theory. New York: Wiley, 1968.
40. K. S. Vastola and H. V. Poor, “An analysis of the effects of spectral uncertainty on Wiener filtering,” Automatica, vol. 28, pp. 289-293, 1983.
41. T. L. Marzetta and S. W. Lang, “Power spectral density bounds,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 117-122, Jan. 1984.
42. O. M. Kurkin and I. C. Sidorov, “Signal filtering in the presence of noise with incompletely known probability characteristics,” Radio Eng. Electron. Phys., vol. 10, pp. 54-62, 1980.
43. N. E. Nahi and I. M. Weiss, “Bounding filter: A simple solution to the lack of exact a priori statistics,” Inform. Contr., vol. 39, pp. 212-224, Nov. 1978.
44. S. A. Kassam and T. L. Lim, “Robust Wiener filters,” J. Franklin Inst., vol. 304, pp. 171-185, 1977.
45. H. V. Poor, “On robust Wiener filtering,” IEEE Trans. Automat. Contr., vol. AC-25, pp. 531-536, June 1980.
46. S. M. Ali and S. D. Silvey, “A general class of coefficients of divergence of one distribution from another,” J. Roy. Stat. Soc, Ser. B, vol. 28, pp. 131-142, 1966.
47. I. Csiszar, “Information-type measures of difference of probability distributions and indirect observations,” Studia Scien-tarium Mathematicerium Hungarica, vol. 2, pp. 229-318, 1967.
48. H. V. Poor, “Minimax linear smoothing for capacities,” Ann. Prob, vol. 10, pp. 504-507, 1982.
49. H. V. Poor and D. P. Looze, “Minimax state estimation for linear stochastic systems with noise uncertainty,” IEEE Trans. Automat. Contr., vol. AC-26, pp. 902-906, 1981.
50. L. J. Cimini and S. A. Kassam, “Robust and quantized Wiener filters for p-point spectral classes,” in Proc 1980 Conf. on Inform. Sciences and Systems (Princeton Univ., Princeton, NJ, Mar. 1980), pp. 314-318.
51. K. S. Vastola and H. V. Poor, “On generalized band models in robust detection and filtering,” in Proc 1980 Conf. on Inform Sciences and Systems (Princeton Univ., Princeton, NJ, Mar. 1980), pp. 1-5.
52. L. J. Cimini and S. A. Kassam, “Optimum piecewise constant Wiener filters,” J. Opt. Soc. Amer., vol. 77, pp. 1162-1171, Oct. 1981.
53. L. Brieman, “A note on minimax filtering,” Ann. Prob., vol. 1, pp. 175-179, 1973.
54. S. A. Kassam, “The bounded p-point classes in robust hypothesis testing and filtering,” in Proc. 20th Annual Allerton Conf. on Comm., Control and Computing (Monticello, IL, Oct. 6-8, 1982), pp. 526-534.
55. K. S. Vastola and H. V. Poor, “Robust Wiener-Kolmogorov theory,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 316-327, Mar. 1984.
56. E. Wong, Stochastic Processes in Information and Dynamical Systems. New York: Wiley, 1971.
57. J. Franke, “Minimax robust prediction of discrete time series,” Z. Wahr. Verw. Geb., vol. 68, pp. 337-364, 1985.
58. K. S. Vastola, “On robust linear causal estimation of continuous-time signals,” in Abstracts of Papers: 1982 IEEE Int. Symp. on Inform. Theory (Les Arcs, France, June 21-25, 1982), p. 124.
59. J. Franke and H. V. Poor “Minimax robust filtering and finite-length robust predictors,” in Robust and Nonlinear Time Series Analysis, J. Franke, W. H{\ddot}{a}rdle, and R. D. Martin, Eds. Heidelberg, Germany: Springer-Verlag, 1984.
60. K. Yao, “An alternative approach to the linear causal least-square filtering theory,” IEEE Trans. Inform. Theory, vol. IT-17, pp. 232-240, 1971.
61. J. Snyders, “Error formulae for optimal linear filtering, prediction and interpolation of stationary time series,” Ann. Math. Statist., vol. 43, pp. 1935-1943, 1972.
62. _____, “Error expressions for optimal linear filtering of stationary processes,” IEEE Trans. Inform. Theory, vol. IT-18, pp. 574-582, 1972.
63. K. Hoffman, Banach Spaces of Analytic Functions. Englewood Cliffs, NJ: Prentice-Hall, 1962.
64. Y. Hosoya, “Robust linear extrapolations of second-order stationary-processes,” Ann. Prob., vol. 6, pp. 574-584, 1978.
65. C. K. Golubev and M. S. Pinsker, “Minimax extrapolation of functions,” Prob. Inform. Transmission, vol. 20, pp. 99-111, Oct. 1984.
66. Yu. B. Korobochkin, “Minimax linear estimation of a stationary random sequence in the presence of a perturbation with limited variance,” Radio Eng. Electron. Phys., vol. 28, no. 11, pp. 74-78, 1983.
67. H. V. Poor, “The rate-distortion function on classes of sources determined by spectral capacities,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 19-26, 1982.
68. M. S. Pinsker, Information and Information Stability of Random Variables and Processes. San Francisco, CA: Holden-Day, 1964.
69. A. Papoulis, “Maximum entropy and spectrum estimation: A review,” IEEE Trans. Acoust., Speech, and Signal Process., vol. ASSP-29, pp. 1176-1186, Dec. 1981.
70. C. Moustakides and S. A. Kassam, “Minimax robust equalization for random signals,” IEEE Trans. Commun., vol. COM-33, 1985 (to be published).
71. _____, “Robust Wiener filters for random signals in correlated noise,” IEEE Trans. Inform. Theory, vol. IT-29, pp. 614-619, July 1983.
72. ______ “Robust Wiener filters for correlated signals and noise,” in Proc. 1980 Conf. on Inform. Sciences Syst. (Princeton Univ., Princeton, NJ, Mar. 26-28, 1980), pp. 308-313.
73. P. J. Huber and V. Strassen, “Minimax tests and the Ney-man-Pearson lemma for capacities,” Ann. Statist, vol. 1, pp. 251-263, 1973.
74. H. Rieder, “Least favorable pairs for special capacities,” Ann Statist, vol. 5, pp. 909-921, 1977.
75. T. Bednarski, “On solutions of minimax test problems for special capacities,” Z. Wahr. verw. Geb., vol. 58, pp. 397-405, 1981.
76. K. S. Vastola and H. V. Poor, “On the p-point uncertainty class,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 374-376, Mar. 1984.
77. M. Taniguchi, “Robust regression and interpolation for time series,” J. Time Ser. Analysis, vol. 2, pp. 53-62, 1981.
78. S. A. Kassam, “Robust hypothesis testing and robust time series interpolation and regression,” J. Time Ser. Analysis, vol. 3, pp. 185-194, 1982.
79. J. A. D'Appolito and C. E. Hutchinson, “A minimax approach to the design of low sensitivity state estimators,” Automatica, vol. 8, pp. 599-608, 1972.
80. V. P. Perov, “Optimum linear filtering of random processes when the a priori information is limited,” Radio Eng. Electron. Phys., vol. 21, no. 10, pp. 68-75, 1976.
81. C. T. Chen and S. A. Kassam, “Robust Wiener filtering for multiple inputs with channel distortion,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 674-677, July 1984.
82. J. C. Darragh and D. P. Looze, “Noncausal minimax linear state estimation for systems with uncertain second-order statistics,” IEEE Trans. Automat. Contr., vol. AC-29, pp. 555-557, June 1984.
83. H. Tsaknakis and P. Papantoni-Kazakos, “Robust linear filtering for multivariale stationary time series,” in Proc. 1984 Conf. on Inform. Sciences Syst. (Princeton Univ., Princeton, NJ, March 14-16, 1984), pp. 6-10.
84. V. D. VandeLinde, “Robust properties of solutions to linear-quadratic estimation and control problems,” IEEE Trans. Automat. Contr., vol. AC-22, pp. 138-139, Feb. 1977.
85. J. M. Morris, “The Kalman filter: A robust estimator for some classes of linear quadratic problems,” IEEE Trans. Inform. Theory, vol. IT-22, pp. 526-534, 1976.
86. H. V. Poor and D. P. Looze, “Minimax state estimation for linear stochastic systems with noise uncertainty,” IEEE Trans. Automat. Contr., vol. AC-26, pp. 902-906, 1981.
87. S. Verdu and H. V. Poor, “Minimax linear observers and regulators for stochastic systems with uncertain second-order statistics,” IEEE Trans. Automat. Contr., vol. AC-29, pp. 499-511, June 1984.
88. C. Martin and M. Mintz, “Robust filtering and prediction for linear systems with uncertain dynamics-. A game-theoretic approach,” IEEE Trans. Automat. Contr., vol. AC-28, pp. 888-8%, Sept. 1983.
89. P. P. Gusak, “Upper bound for rms filtering performance criterion in quasilinear models with incomplete information,” Automat. Remote Contr., vol. 42, no. 4, pp. 466-471, Apr. 1981.
90. T. Kailath, “RKHS approach to detection and estimation problems-Part I: Deterministic signals in Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-17, pp. 530-549, Sept. 1971.
91. V. P. Kuznetsov, “Stable detection when the signal and spectrum of normal noise are inaccurately known,” Tele-comm. Radio Eng., vol. 30/31, pp. 58-64, Mar. 1976.
92. S. A. Kassam, T. L. Lim, and L. J. Cimini, “Two-dimensional filters for signal processing under modeling uncertainties,” IEEE Trans. Geosci. Remote Sensing, vol. CE-18, pp. 331-336, Oct. 1980.
93. W. C. Knight, R. C. Pridham, and S. M. Kay, “Digital signal processing for sonar,” Proc. IEEE, vol. 69, pp. 1451-1506, Nov. 1981.
94. V. V. Rodionov, “A game theory approach to detection of radar signals in the presence of unknown interference,” Radio Eng. Electron. Phys., vol. 27, no. 9, pp. 74-80, 1982.
95. C. R. Cahn, “Performance of digital matched filter correlator with unknown interference,” IEEE Trans. Commun., vol COM-19, pp. 1163-1172, Dec. 1971.
96. C. L. Turin, “Minimax strategies for matched-filter detection,” IEEE Trans. Commun., vol. COM-23, pp. 1370-1371, Nov. 1975.
97. C.-T. Chen, “Robust and quantized linear filtering for multiple input systems,” Ph.D. dissertation, Dept. of Systems Eng., Univ. of Pennsylvania, Philadelphia, 1983.
98. C.-T. Chen and S. A. Kassam, “Robust multiple-input matched filtering: Frequency and time-domain results,” IEEE Trans. Inform. Theory (to appear).
99. V. P. Kuznetsov, “Minimax linear Neyman-Pearson detectors for an imprecisely known signal and noise,” Radio Eng. Electron. Phys., vol. 19, no. 12, pp. 73-81, 1974.
100. S. Verdu and H. V. Poor, “Minimax robust discrete-time matched filters,” IEEE Trans. Commun. vol. COM-31, pp. 208-215, Feb. 1983.
101. V. P. Kuznetsov, “Synthesis of linear detectors when the signal is inexactly given and the properties of the normal noise are incompletely known,” Radio Eng. Electron. Phys., vol. 19, no. 12, pp. 65-73, 1974.
102. M. V. Burnashev, “On the Minimax detection of an inaccurately known signal in a white Gaussian noise background,” Prob. Appl., vol. 24, pp. 107-119, 1979.
103. R. Sh. Aleyner, “Synthesis of stable linear detectors for an inaccurately known signal,” Radio Eng. Electron. Phys., vol. 22, no. 1, pp. 142-145, 1977.
104. _____, “On the stable detection of a quasi-deterministic signal the presence of multiplicative interference,” Radio Eng. Electron. Phys., vol. 24, no. 10, pp. 60-66, 1979.
105. S. Verdu and H. V. Poor, “Signal selection for robust matched filtering,” IEEE Trans. Commun., vol. COM-31, pp. 667-670, May 1983.
106. K. S. Vastola, J. S. Farnbach, and S. C. Schwartz, “Maximin sonar system design for detection,” in Proc. 1983 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Apr. 1983.
107. R. A. Monzingo and T. W. Miller, Introduction to Adaptive Arrays. New York: Wiley, 1980.
108. K. M. Ahmed and R. “. Evans, “Robust signal and array processing,” Proc. Inst. Elec. Eng., vol. 129, pt. F, no. 4, pp. 297-302, Aug. 1982.
109. C. H. Knapp and C. C. Carter, “The generalized correlation method for estimation of time delay,” IEEE Trans. Acoustics, Speech, Signal Process., vol. ASSP-24, pp. 320-327, Aug. 1976.
110. E. K. Al-Hussaini and S. A. Kassam, “Robust Eckart filters for time delay estimation,” IEEE Trans. Acoustic, Speech, Signal Process., vol. ASSP-32, pp. 1052-1063, Oct. 1984.
111. H. V. Poor, “Robust decision design using a distance criterion,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 575-587, Sept. 1980.
112. ______ “Robust matched filters,” IEEE Trans. Inform. Theory (to be published).
113. C. W. Helstrom, Statistical Theory of Signal Detection, 2nd ed. Oxford, England: Pergamon, 1968.
114. D. Slepian, “On bandwidth,” Proc. IEEE, vol. 64, pp. 292-300, Mar. 1976.
115. S. Verdu and H. V. Poor, “On minimax robustness: A general approach and applications,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 328-340, Mar. 1984.
116. N. M. Khalfina and L. A. Khalfin, “On a robust version of the likelihood ratio test,” Theory Prob. Appl., vol. 20, pp. 199-202, 1975. Also in
117. Proc. IEEE, vol. 64, pp. 292-300, Mar. 1976.
118. C. V. Trunk, “Non-Rayleigh sea clutter: Properties and detection of targets,” Naval Res. Lab Rep. 7986, Washington, DC, June 1976.
119. J. H. Miller and J. B. Thomas, “Robust detectors for signals in non-Gaussian noise,” IEEE Trans. Commun., vol. COM-25, pp. 686-691, July 1977.
120. S. A. Kassam, “Robust hypothesis testing for bounded classes of probability densities,” IEEE Trans. Inform. Theory, vol. IT-27, pp. 242-247, Mar. 1981.
121. V. P. Kuznetsov, “Stable methods of discriminating between two signals,” Radio Eng. Electron. Phys., vol. 19, no. 10, pp. 42-49, 1974.
122. ______ “Stable detection of a signal that is not precisely known,” Prob. Inform. Transmission, vol. 12, no. 2, pp. 119-129, 1976.
123. _____, “Stable rules for discrimination of hypotheses,” Prob. Inform. Trans., vol. 18, no. 1, pp. 41-51, 1982.
124. D. Kazakos, “Signal detection under mismatch,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 681-684, July 1982.
125. E. A. Geraniotis, “Performance bounds for robust decision problems with uncertain statistics,” in Proc. 22nd IEEE Conf. on Decision and Control (San Antonio, TX, Dec. 14-16, 1983), pp. 298-303.
126. E. A. Geraniotis and H. V. Poor, “Minimax discrimination for observed Poisson processes with uncertain rate functions,” IEEE Trans. Inform. Theory, vol. IT-31, 1985 (to appear).
127. P. M. Schultheiss and J. J. Wolcin, “Robust sequential probability ratio detectors,” in EASCON '75 Conv. Rec, pp. 36-A-36-H, 1975.
128. J. Capon, “On the asymptotic efficiency of locally optimum detectors,” IRE Trans. Inform. Theory, vol. IT-7, pp. 67-71, Apr. 1961.
129. J. H. Miller and J. B. Thomas, “Detectors for discrete-time signals in non-Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-18, pp. 241-250, Mar. 1972.
130. S. A. Kassam and J. B. Thomas, “Asymptotically robust detection of a known signal in contaminated non-Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-22, pp. 22-26, Jan. 1976.
131. H. V. Poor and J. B. Thomas, “Asymptotically robust quantization for detection,” IEEE Trans. Inform Theory, vol. IT-24, pp. 222-229, Mar. 1978.
132. A. H. El-Sawy and V. D. VandeLinde, “Robust detection of known signals,” IEEE Trans. Inform. Theory, vol. IT-23, pp. 722-727, Nov. 1977.
133. _____, “Robust sequential detection of signals in noise,” IEEE Trans. Inform. Theory, vol. IT-25, pp. 346-353, May 1979.
134. G. V. Trunk, “Small- and large-sample behavior of two detectors against envelope-detected sea clutter,” IEEE Trans. Inform. Theory, vol. IT-16, pp. 95-99, Jan. 1970.
135. G. V. Trunk and S. F. George, “Detection of targets in non-Gaussian sea clutter,” IEEE Trans. Aerosp. Electron. Syst., vol. AES-6, pp. 620-628, Sept. 1970.
136. J. M. Morris, “On single-sample robust detection of known signals in additive unknown-mean amplitude-bounded random interference,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 199-209, Mar. 1980.
137. ______ “On single-sample robust detection of known signals in additive unknown-mean amplitude-bounded random interference-Part II: The randomized decision rule solution,” IEEE Trans. Inform. Theory, vol. IT-27, pp. 132-136, Jan. 1981.
138. _____, “Performance of a suboptimal multisample decision rule against known signals with additive unknown-mean amplitude-bounded random interference,” in Proc. 21st IEEE Conf. on Decision and Control (Orlando, FL, Dec. 8-10, 1982), pp. 437-439.
139. S. A. Kassam, “Locally robust array detectors for random signals,” IEEE Trans. Inform. Theory, vol. IT-24, pp. 309-316, May 1978.
140. M. Kanefsky, “Detection of weak signals with polarity coincidence arrays,” IEEE Trans. Inform. Theory, vol. IT-12, pp. 260-268, Apr. 1966.
141. R. D. Martin and C. P. McGath, “Robust detection of stochastic signals,” IEEE Trans. Inform. Theory, vol. IT-20, pp. 537-541, July 1974.
142. H. V. Poor, M. Mami, and J. B. Thomas, “On robust detection of discrete-time stochastic signals,” j Franklin Inst., vol. 309, pp. 29-53, Jan. 1980.
143. H. V. Poor and J. B. Thomas, “Locally-optimum detection of discrete-time stochastic signals in non-Gaussian noise,” J. Acoust. Soc. Amer., vol. 63, pp. 75-80, Jan. 1978.
144. J. W. Modestino and A. Y. Ningo, “Detection of weak signals in narrowband non-Gaussian noise,” IEEE Trans. Inform Theory, vol. IT-25, pp. 592-600, Sept. 1979.
145. S. A. Kassam, “Detection of narrowband signals: Asymptotic robustness and quantization,” in Proc. 1984 Conf. on Inform. Sciences and Systems (Princeton Univ., Princeton, NJ, Mar. 1984), pp. 297-301.
146. S. A. Kassam, “Nonparametric detection of narrowband signals,” in Proc. 27th Midwest Symp. on Circuits and Systems (Morgentown, WV, June 1984), pp. 518-521.
147. A. H. El-Sawy, “Detection of signals with unknown phase,” in Proc. 17th Ann. Allerton Conf. on Comm., Control and Computing (Monticello, IL, Oct. 1979), pp. 152-161.
148. P. A. Kelly, “Robust estimation and detection of signals with arbitrary parameters,” in Proc. 21st Annual Allerton Conf. on Commun., Control and Computing (Monticello, IL, Oct. 5-7, 1983), pp. 602-609.
149. J. C. Shin and S. A. Kassam, “Robust detector for narrow-band signals in non-Gaussian noise,” J. Acoust. Soc. Amer., vol. 74, pp. 527-533, Aug. 1983.
150. S. S. Wolff and F. J. M. Sullivan, “Robust many-input signal detectors,” in Signal Processing: Proc. of NATO Advanced Study Inst, on Signal Processing, J. W. R. Griffiths et al., Eds. London, England: Academic Press, 1973.
151. V. P. Kuznetsov, “Synthesis of stable, small signal detectors,” Radio Eng. Electron. Phys., vol. 21, no. 2, pp. 26-34, 1976.
152. H. V. Poor, “Signal detection in the presence of weakly dependent noise-Part II: Robust detection,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 744-752, 1982.
153. S. L. Portnoy, “Robust estimation in dependent situations,” Ann. Statist., vol. 5, pp. 22-43, 1977.
154. _____, “Further remarks on robust estimation in dependent situations,” Ann. Statist., vol. 7, pp. 244-251, 1979.
155. G. V. Moustakides and J. B. Thomas, “Min-max detection of weak signals in -mixing noise,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 529-537, May 1984.
156. S. A. Kassam and J. B. Thomas, “Dead-zone limiter: An application of conditional tests in nonparametric detection,” J. Acoust. Soc. Amer., vol. 60, pp. 857-862, 1976.
157. R. D. Martin, “Robust estimation of signal parameters with dependent data,” in Proc. 21st IEEE Conf. on Decision and Control (Orlando, FL, Dec. 8-10, 1982), pp. 433-436.
158. S. A. Kassam, G. Moustakides, and J. G. Shin, “Robust detection of known signals in asymmetric noise,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 84-91, Jan. 1982.
159. J. R. Collins, “Robust estimation of a location parameter in the presence of asymmetry,” Ann. Statist., vol. 4, pp. 68-85, 1976.
160. G. V. Moustakides, Robust Detection of Signals: A Large Deviations Approach, IRISA (CNRS) Publ. no. 243, Univ. de Rennes, France, Nov. 1984.
161. R. D. Martin and S. C. Schwartz, “On mixture quasi-mixture, and nearly normal random processes,” Ann. Math. Stat., vol. 43, pp. 948-967, 1972.
162. P. A. Kelly and W. L. Root, “Stable linear detectors with optimality constraints,” in Proc. 22nd Ann. Allerton Conf. on Comm., Control, and Computing (Monticello, IL, Oct. 3-5, 1984), pp. 318-327.
163. _____, “Stability in detection of signals in noise,” in Proc. 23rd IEEE Conf. on Decision and Control (Las Vegas, NV, Dec. 12-14, 1984), pp. 1436-1443.
164. S. A. Kassam, “Optimum data quantization for signal detection,” in Communications and Networks: A Survey of Recent Advances, I. F. Blake and H. V. Poor, Eds. New York: Springer-Verlag, 1985.
165. L. Kurz, “Nonparametric detectors based on partition tests,” in Nonparametric Methods in Communications, P. Papantoni-Kazakos and D. Kazakos, Eds. New York: Marcel-Dekker, 1977.
166. R. F. Dwyer, “Robust sequential detection of weak signals in undefined noise using acoustical arrays,” J. Acoust. Soc. Amer., vol. 67, pp. 833-841, 1980.
167. Y. C. Ching and L. Kurz, “Nonparametric detectors based on m-interval partitioning,” IEEE Trans. Inform. Theory, vol. IT-18, pp. 251-257, Mar. 1972.
168. P. Kersten and L. Kurz, “Robustized vector Robbins-Monro algorithm with applications to m-interval detection,” Inform. Sci., vol. 11, pp. 121-140, 1076.
169. _____, “Bivariate m-interval classifiers with application to edge detection,” Inform. Contr, vol. 34, pp. 152-168, 1977.
170. R. F. Dwyer, “Robust sequential detection of narrowband acoustic signals in noise,” in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 140-143, Apr. 1979.
171. ______ “A technique for improving detection and estimation of signals contaminated by under ice noise,” J. Acoust. Soc. Amer., vol. 74, pp. 124-130, July 1983.
172. J. H. Miller and J. B. Thomas, “The detection of signals in impulsive noise modeled as a mixture process,” IEEE Trans. Commun., vol. COM-24, pp. 559-563, May 1976.
173. J. W. Modestino, “Adaptive detection of signals in impulsive noise environments,” IEEE Trans. Commun., vol. COM-25, pp. 1022-1027, Sept. 1977.
174. L. B. Milstein, D. D. Schilling, and J. K. Wolf, “Robust detection using extreme-value theory,” IEEE Trans. Inform. Theory, vol. 15, pp. 370-375, 1969.
175. S. A. Kassam and J. B. Thomas, Eds., Nonparametric Detection: Theory and Applications. Stroudsburg, PA: Dowden, Hutchinson and Ross, 1980.
176. S. A. Kassam, “A bibliography on nonparametric detection,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 595-602, Sept. 1980.
177. R. D. Martin and C. J. Masreliez, “Robust estimation via stochastic approximation,” IEEE Trans. Inform. Theory, vol. IT-21, pp. 263-271, May 1975.
178. A. B. Tsybakov, “Robust estimation of a function,” Prob. Inform. Transmission, vol. 18, no. 3, pp. 190-200, 1983.
179. R. D. Martin, “Robust estimation of signal amplitude,” IEEE Trans. Inform. Theory, vol. IT-18, pp. 596-606, 1972.
180. E. L. Price and V. D. VandeLinde, “Robust estimation using the Robbins-Munro stochastic approximation algorithm,” IEEE Trans. Inform. Theory, vol. IT-25, pp. 698-704, 1979.
181. A. C. Bovik, T. S. Huang, and D. C. Munson, Jr., “A generalization of median filtering using linear combinations of order statistics,” IEEE Trans. Acoust., Speech, and Signal Process., vol. ASSP-31, pp. 1342-1350, Dec. 1982.
182. Y. H. Lee and S. A. Kassam, “Nonlinear edge preserving filtering techniques for image enhancement,” in Proc. 27th Midwest Symp. Circuits Syst. (Morgentown, WV, June 1984), pp. 554-557.
183. _____, “Applications of nonlinear adaptive filters for image enhancement,” in Proc. 7th Int. Conf. Pattern Recogn. (Montreal, Que., Canada, Aug. 1984), pp. 930-932.
184. K. Abend ef al., “Advanced digital receiver techniques,” Tech. Rep. RADC-TR-68-169, Rome Air Development Cen., Rome, NY, Sept. 1978.
185. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
186. C. J. Masreliez and R. D. Martin, “Robust Bayesian estimation for the linear model and robustifying the Kalman filter,” IEEE Trans. Automat. Contr., vol. AC-22, pp. 361-371, 1977.
187. V. D. VandeLinde, R. Doraiswami, and H. O. Yurtseven, “Robust filtering for linear systems,” in Proc. 11th IEEE Conf. on Decision and Control (New Orleans, LA, Dec. 13-15, 1972), pp. 652-656.
188. A. A. Ershov and R. Sh. Lipster, “A robust Kalman filter in discrete time,” Automat. Remote Contr., vol. 39, no. 3, 1978.
189. A. A. Ershov, “Robust filtering algorithms,” Automat. Remote Contr., vol. 39, no. 7, pt. 1, pp. 992-9%, July 1978.
190. I. K. Levin, “Accuracy analysis of a robust filter of a certain type by the method of convex hull,” Automat. Remote Contr., no. 5, pp. 660-669, 1980.
191. C. Tsai and L. Kurz, “Adaptive robustizing approach to Kalman filtering,” Automatica, vol. 18, no. 3, pp. 279-288, 1983.
192. C. G. Boncelet, Jr., and B. W. Dickinson, “An approach to robust Kalman filtering,” in Proc. 22nd IEEE Conf. Decision Control (San Antonio, TX, Dec. 14-16, 1983), pp. 304-305.
193. J. M. Morris, “Quantization and source encoding with a fidelity criterion: A survey,” Naval Res. Lab. Rep. 8082, Washington, DC, Mar. 25, 1977.
194. A. Gersho, “Principles of quantization,” IEEE Trans. Circuits Syst, vol. CAS-25, pp. 427-436, July 1978.
195. R. M. Gray, Ed. IEEE Trans. Inform. Theory (Special Issue on Quantization), vol. IT-28, Mar. 1982.
196. B. Aazhang and H. V. Poor, “On optimum and nearly optimum data quantization for signal detection,” IEEE Trans. Commun., vol. COM-32, pp. 745-751, July 1984.
197. H. V. Poor, “A companding approximation for the statistical divergence of quantized data,” in Proc. 22nd IEEE Conf. Decision Control (San Antonio, TX, Dec. 14-16, 1983), pp. 697-702.
198. ______ “The effects of data quantization on filtering of stationary Gaussian processes,” in Proc. 23rd IEEE Conf. Decision Control (Las Vegas, NV, Dec. 12-14, 1984), pp. 1430-1435.
199. “. Max, “Quantizing for minimum distortion,” IRE Trans. Inform. Theory, vol. IT-6, pp. 7-12, Mar. 1960.
200. D. J. Goodman and A. Gersho, “Theory of an adaptive quantizer,” IEEE Trans. Commun., vol. COM-22, pp. 1037-1045, Aug. 1974.
201. A. Cersho and D. J. Goodman, “A training mode adaptive quantizer,” IEEE Trans. Inform. Theory, vol. IT-20, pp. 746-749, Nov. 1974.
202. J. M. Morris and V. D. VandeLinde, “Robust quantization of discrete-time signals with independent samples,” IEEE Trans. Commun. Technol., vol. COM-22, pp. 1897-1901, Dec. 1974.
203. W. C. Bath and V. D. VandeLinde, “Robust memoryless quantization for minimum signal distortion,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 296-306, Mar. 1982.
204. J. A. Bucklew and G. L. Wise, “Multidimensional asymptotic quantization theory with r-th power distortion measures,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 239-247, Mar. 1982.
205. W. G. Bath and V. D. VandeLinde, “Robust quantizers designed using the companding approximation,” in Proc. 18th IEEE Conf. on Decision and Control (Ft. Lauderdale, FL, Dec. 1979), pp. 483-487.
206. P. W. Cattermole, Principles of Pulse Code Modulation. London, England: llffe, 1969.
207. D. Kazakos, “On the design of robust quantizers,” in 1981 IEEE Telecomm. Conf., Conf. Rec. (New Orleans, LA, Dec. 1981), pp. F4.5.1-F4.5.4.
208. _____, “New results on robust quantization,” IEEE Trans. Commun., vol. COM-31, pp. 965-974, Aug. 1983.
209. H. V. Poor, “Some results on robust data quantization,” in Proc. 21st IEEE Conf. Decision Control (Orlando, FL, Dec. 8-10, 1982), pp. 440-445.
210. _____, “Robust quantization of {\epsilon}-contaminated data,” IEEE Trans. Commun., vol. COM-33, pp. 218-222, Mar. 1985.