Model-Based Signal Processing

Model-Based Signal Processing

Volumn , Issue , 2005, Pages 1-677

  Candy, James V ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891294980     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/0471732672     Document Type: Book

References (351)

1. J. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
2. J. Candy, Signal Processing: The Modern Approach, New York: McGraw-Hill, 1988.
3. S. Kay, Modern Spectral Estimation: Theory and Applications, Englewood Cliffs, NJ: Prentice-Hall, 1988.
4. S. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Englewood Cliffs, NJ: Prentice-Hall, 1993.
5. S. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, Englewood Cliffs, NJ: Prentice-Hall, 1998.
6. C. Therrien, Random Signal Processing: Detection Theory, Englewood Cliffs, NJ: Prentice-Hall, 1991.
7. R. Brown and P. Hwang, Introduction to Random Signals and Applied Kalman Filtering, New York: Wiley, 1997.
8. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
9. A. Sage and J. Melsa, Estimation Theory with Applications to Communications and Control, New York: McGraw-Hill, 1971.
10. A. Gelb, Applied Optimal Estimation, Cambridge: MIT Press, 1974.
11. B. Anderson and J. Moore, Optimum Filtering, Englewood Cliffs, NJ: Prentice-Hall, 1979.
12. P. Maybeck, Stochastic Models, Estimation and Control, New York: Academic Press, 1979.
13. M. S. Bozic, Linear Estimation Theory, Englewood Cliffs, NJ: Prentice-Hall, 1979.
14. T. Kailath, Lectures on Kalman and Wiener Filtering Theory, New York: Springer-Verlag, 1981.
15. J. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, Englewood Cliffs, NJ: Prentice-Hall, 1995.
16. M. Grewal and A. Andrews, Kalman Filtering: Theory and Practice, Englewood Cliffs, NJ: Prentice-Hall, 1993.
17. Y. Bar-Shalom and X. Li, Estimation and Tracking: Principles, Techniques and Software, Norwood, MA: Artech House, 1993.
18. B. Widrow and S. Stearns, Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1985.
19. S. Orfanidis, Optimal Signal Processing, New York: Macmillan, 1988.
20. L. Sharf, Statistical Signal Processing: Detection, Estimation and Time Series Analysis, Reading, MA: Addison-Wesley, 1991.
21. S. Haykin, Adaptive Filter Theory, Englewood Cliffs, NJ: Prentice-Hall, 1993.
22. M. Hayes, Statistical Digital Signal Processing and Modeling, New York: Wiley, 1996.
23. P. Stoica and R. Moses, Introduction to Spectral Analysis, Englewood Cliffs, NJ: Prentice-Hall, 1997.
24. L. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
25. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge: MIT Press, 1983.
26. G. Goodwin and K. S. Sin, Adaptive Filtering, Prediction and Control, Englewood Cliffs, NJ: Prentice-Hall, 1984.
27. J. Norton, An Introduction to Identification, New York: Academic Press, 1986.
28. T. Soderstrom and P. Stoica, System Identification, New York: Academic Press, 1989.
29. S. Haykin and N. de Freitas, eds., "Sequential state estimation: From Kalman filters to particle filters," Proc. IEEE, 92 (3), 399-574, 2004.
30. P. Djuric, J. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M. Bugallo, and J. Miguez, "Particle filtering," IEEE Signal Proc. Mag., 20 (5), 19-38, 2003.
31. J. V. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
32. E. Robinson and S. Treitel, Geophysical Signal Analysis, Englewood Cliffs, NJ: Prentice-Hall, 1980.
33. A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging, New York: IEEE Press, 1988.
34. K. Langenburg, "Applied inverse problems for acoustic, electromagnetic and elastic wave scattering," in P. C. Sabatier, ed., Basic Methods of Tomography and Inverse Problems, Philadelphia: Hilger, 1987.
35. M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice, Englewood Cliffs, NJ: Prentice-Hall, 1993.
36. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, Englewood Cliffs, NJ: Prentice-Hall, 1995.
37. R. G. Brown and P. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering, New York: Wiley, 1997.
38. G. E. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, San Francisco: Holden-Day, 1976.
39. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
40. G. J. Bierman, Factorization Methods for Discrete Sequential Estimation, New York: Academic Press, 1977.
41. G. C. Goodwin and R. L. Payne, Dynamic System Identification, New York: Academic Press, 1976.
42. L. J. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
43. R. Nielson, Sonar Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1995.
44. D. Johnson and R. Mersereau, Array Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1993.
45. H. Sorenson, Editor, Kalman Filtering: Theory and Application, New York: IEEE Press, 1985.
46. J. V. Candy and E. J. Sullivan, "Ocean acoustic signal processing: A model-based approach," J. Acoust. Soc. Am., 92 (12), 3185-3201, 1992.
47. A. Oppenheim and R. Schafer, Discrete-Time Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1989.
48. R. Churchill, Complex Variables and Applications, New York: McGraw-Hill, 1974.
49. A. Papoulis, Probability, Random Variables and Stochastic Processes, New York: McGraw-Hill, 1965.
50. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
51. R. Hogg and A. Craig, Introduction to Mathematical Statistics, New York: Macmillan, 1970.
52. S. Tretter, Introduction to Discrete-Time Signal Processing, New York: Wiley, 1976.
53. K. Astrom, Introduction to Stochastic Control Theory, New York: Academic Press, 1970.
54. F. Bauer, "A direct iterative process for the Hurwitz decomposition of a polynomial," Arch. Elect. Ubertragung, 9, 285-290, 1955.
55. T. Kailath and J. Rissanen, "Partial realization of random systems," Automatica, 8, 389-396, 1972.
56. J. Rissanen, "Algorithm for the triangular decomposition of block Hankel and Toeplitz matrices with application to factorizing positive matrix polynomials," Math. Comput., 17, 147-157, 1973.
57. G. Goodwin and K. Sin, Adaptive Filtering, Prediction and Control, Englewood Cliffs, NJ: New Prentice-Hall, 1984.
58. E. Robinson and M. Silvia, Digital Foundations of Time Series Analysis, Vol. 1, San Francisco: Holden-Day, 1979.
59. S. Mitra and R. Sherwood, "Digital ladder networks," IEEE Trans. Audio Electroacoust., 21, 30-36, 1973.
60. A. Gray and J. Markel, "Digital lattice and ladder filter synthesis," IEEE Trans. Audio Electroacoust., 21, 491-500, 1975.
61. B. Friedlander, "Lattice filters for adaptive processing," Proc. IEEE, 70, 829-867, 1982.
62. J. Markel and A. Gray, Linear Prediction of Speech, New York: Springer-Verlag, 1976.
63. S. Orfanidis, Optimum Signal Processing, New York: Macmillan, 1988.
64. M. Hayes, Statistical Digital Signal Processing and Modeling, New York: Wiley, 1996.
65. S. M. Kay, Modern Spectral Estimation: Theory and Applications, Englewood Cliffs, NJ: Prentice-Hall, 1988.
66. K. Aki and P. Richards, Quantitative Seismology: Theory and Methods, New York: Freeman, 1980.
67. E. Robinson and M. Silvia, Digital Foundations of Time Series Analysis: Wave Equation and Space-Time Processing, Vol. 2 (San Francisco: Holden-Day, 1981).
68. D. Dudgeon and R. Mersereau, Multidimensional Digital Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1984.
69. D. Johnson and D. Dudgeon, Array Signal Processing: Concepts and Techniques, Englewood Cliffs, NJ: Prentice-Hall, 1993.
70. E. Robinson, T. Durrani, and L. Peardon, Geophysical Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1986.
71. M. Wax, Detection and Estimation of Superimposed Signals, PhD dissertation, Stanford University, Standford CA, 1985.
72. J. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
73. T. Kailath, Linear Systems, Englewood Cliffs, NJ: Prentice-Hall, 1980.
74. F. Szidarovszky and A. Bahill, Linear Systems Theory, Boca Raton, FL: CRC Press, 1980.
75. R. DeCarlo, Linear Systems: A State Variable Approach, Englewood Cliffs, NJ: Prentice-Hall, 1989.
76. C. Chen, Introduction to Linear System Theory, New York: Holt, Rhinehart, and Winston, 1984.
77. J. Candy and P. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Appl., 2(3), 33-42 1993 (see http://www.techni-soft.net for more details).
78. G. Bierman, Factorization Methods for Discrete Sequential Estimation, New York: Academic Press, 1977.
79. D. Lee, Canonical Ladder Form Realizations and Fast Estimation Algorithms, PhD dissertation, Stanford Univ., 1980.
80. T. Kailath, Lectures on Kalman and Wiener Filtering Theory, New York: Springer-Verlag, 1981.
81. H. Van Trees, Detection, Estimation and Modulation Theory, New York: Wiley, 1968.
82. A. Sage and J. Melsa, Estimation Theory with Applications to Communications and Control, New York: McGraw-Hill, 1971.
83. M. Srinath, P. Rajasekaran, and R. Viswanathan. Introduction to Statistical Signal Processing with Applications, Englewood Cliffs, NJ: Prentice-Hall, 1996.
84. R. Hogg and A. Craig, Introduction to Mathematical Statistics, New York: Macmillan, 1970.
85. B. Porat, Digital Processing of Random Signals: Theory andMethods, Englewood Cliffs, NJ: Prentice-Hall, 1994.
86. J. Candy, "The Cramer-Rao bound: A measure of estimator quality," Lawrence Livermore National Laboratory Report, UCID-17660, 1977.
87. J. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
88. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
89. I. Rhodes, "A tutorial introduction to estimation and filtering," IEEE Trans. Autom. Contr., 16, 688-706, 1971.
90. J. Candy, "Processing of RV signatures from radar tracking data," RTO Set Symposium on High Resolution Radar Techniques, RTO MP-40, pp. 38-1-38-12, 1999.
91. J. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, Englewood Cliffs, NJ: Prentice-Hall, 1995.
92. S. Haykin, Ed., Array Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1984.
93. D. Johnson and D. Dudgeon, Array Signal Processing: Concepts and Techniques, Englewood Cliffs, NJ: Prentice-Hall, 1993.
94. H. Van Trees, Optimum Array Processing, New York: Wiley-Interscience, 2002.
95. G. Strang, Linear Algebra and Its Applications, New York: Academic Press, 1976.
96. G. Golub and C. Van Loan, Matrix Computations, Baltimore: Johns Hopkins University Press, 1989.
97. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis, Reading, MA: Addison-Wesley, 1991.
98. C. L. Lawson and R. J. Hanson, Solving Least Squares Problems, Englewood Cliffs, NJ: Prentice-Hall, 1974.
99. T. Kailath, Lectures on Kalman and Wiener Filtering Theory, New York: Springer-Verlag, 1981.
100. S. Orfanidis, Optimum Signal Processing, New York: Macmillan, 1988.
101. G. Stewart, Introduction to Matrix Computations, New York: Academic Press, 1973.
102. S. Tretter, Introduction to Discrete-Time Signal Processing, New York: Wiley, 1976.
103. J. Markel and A. Gray, Linear Prediction of Speech, New York: Springer-Verlag, 1976.
104. L. Rabiner and R. Shafer, Digital Processing of Speech Signals, Englewood Cliffs, NJ: Prentice-Hall, 1978.
105. D. Childers, Ed., Modern Spectral Analysis, New York: IEEE Press, 1978.
106. G. Box and G. Jenkins, Time Series Analysis: Forcasting and Control, San Francisco: Holden-Day, 1976.
107. R. Kalman, "A new approach to linear filtering and prediction problems," J. Basic Eng., 82, 35-43, 1960.
108. K. Astrom and P. Eykhoff, "System identification-A survey," Automatica, 7, 123-162, 1971.
109. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge: MIT Press, 1983.
110. G. Goodwin and K. Sin, Adaptive Filtering, Prediction and Control Prentice-Hall, New Jersey, 1984.
111. J. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
112. S. Haykin, Adaptive Filtering Theory, Englewood Cliffs, NJ: Prentice-Hall, 1996.
113. MathWorks, MATLAB Users Manual, Boston: MathWorks Press, 1986.
114. S. Orfanidis, Optimum Signal Processing, New York: Macmillan, 1988.
115. R. Wiggins and E. Robinson, "Recursive solution to the multichannel filtering problem," J. Geophysics, Res., 20, 1885-1891, 1965.
116. M. Silvia and E. Robinson, Deconvolution of Geophysical Time Series in the Exploration of Oil and Natural Gas, New York: Elsevier, 1979.
117. B. Widrow and S. Sterns, Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1985.
118. A. Meyer and J. Candy, "Iterative processing of ultrasonic measurements to characterize flaws in critical optical components," IEEE Trans. Ultra. Ferro. Freq. Contr., 49 (8), 1124-1137, 2002.
119. P. Bogler, Radar Principles with Applications to Tracking Systems, New York: Wiley, 1990.
120. W. Hedrick, D. Hykes and D. Starchman, Ultrasound Physics and Instrumentation, St. Louis: Mosby, 1995.
121. B. Friedlander, "Lattice filters for adaptive processing," Proc. IEEE, 70, 829-867, 1982.
122. M. Honig and D. Messerschmitt, Adaptive Filters: Structures, Algorithms, and Applications, Boston: Kluwer, 1984.
123. A. Giordano and F. Hsu, Least Squares Estimation with Applications to Digital Signal Processing, New York: Wiley, 1985.
124. H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, 19, 716-723, 1974.
125. Y. Sakamoto, M. Ishiguro, and G. Kitagawa, Akaike Information Criterion Statistics, Boston: Reidel/Kluwer Academic, 1986.
126. J. Candy, M. Warren and T. Bullock, "Realization of invariant system descriptions from infinite Markov sequences," IEEE Trans. Autom. Contr., 23 (1), 93-96, 1978.
127. J. Candy, T. Bullock, and M. Warren, "Invariant system description of the stochastic realization," Automatica, 15, 493-495, 1979.
128. E. Tse and H. Weinert, "Structure determination and parameter identification for multivariable stochastic linear systems," IEEE Trans. Autom. Contr., 20 (5), 603-613, 1975.
129. N. Mohanty, Random Signals, Estimation, and Identification, New York: Van Nostrand, 1986.
130. R. Jategaonkar, J. Raol, and S. Balakrishna, "Determination of model order for dynamical systems," IEEE Trans. Sys., Man, Cyber., 12, 1982.
131. R. Isermann, Ed., "Identification and System Parameter estimation," Automatica, 17, 1-253, 1981.
132. J. Candy and J. Zicker, "Electromagnetic signal processing: An estimation/identification application," Automatica, 23 (2), 175-187, 1987.
133. R. Bevensee, F. Deadrick, E. Miller, and J. Okada, "Validation and calibration of the LLL transient electromagnetic measurement facility," LLNL Report, UCRL-52225, 1977.
134. E. Miller, ed., Transient Electromagnetic Measurements, New York: Van Nostrand, 1986.
135. C. Baum, "On the singularity expansion method for the solution of EM interaction problems," AFWL Interaction Note 88, 1971.
136. B. Steinberg, Principles of Aperture and Array System Design, New York: Wiley, 1976.
137. D. Goodman, "NLS: A system identification package for transient signals," LLNL Report, UCID-19767, 1983.
138. S. Tretter, Introduction to Discrete-Time Signal Processing, New York: Wiley, 1976.
139. F. Tesche, "On the analysis of scattering and antenna problems using the singularity expansion technique," IEEE Trans. Ant. Propag., 21, 53-62, 1973.
140. S. Kay and S. Marple, "Spectrum analysis-a modern perspective," Proc. IEEE, 69 (11), 1380-1419, 1981.
141. S. Kay, Modern Spectral Estimation, Englewood Cliffs, NJ: Prentice-Hall, 1988.
142. M. Hayes, Statistical Digital Signal Processing and Modeling, New York: Wiley, 1996.
143. R. Kumaresan and D. Tufts, "Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise," IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-30, 6, 833-840, 1982.
144. J. Cadzow and M. Wu, "Analysis of transient data in noise," IEE Proc., 134 (Pt. F), 69-78 1987.
145. G. Golub and C. Van Loan, Matrix Computations, Baltimore: Johns Hopkins University Press, 1990.
146. J. Cadzow, B. Baseghi, and T. Hsu, "Singular-value decomposition approach to time series modeling," IEE Proc., 130 (Pt. F), 202-210 1983.
147. H. Van Trees, Optimum Array Processing, New York: Wiley, 2002.
148. R. Klem, "Use of generalized resolution methods to locate sources in random dispersive media," IEE Proc., 127 (Pt. F), 34-40 1980.
149. V. Pisarenko, "The retrieval of harmonics from a covariance function," Geophysical J. Royal Astro. Soc., 33, 347-366, 1973.
150. R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Ant. Propag., 34, (3) 276-280 1986.
151. D. Johnson and D. Dudgeon, Array Signal Processing: Concepts and Techniques, Englewood Cliffs, NJ: Prentice-Hall, 1993.
152. D. Tufts and R. Kumaresan, "Estimation of frequencies of multiple sinusoids: making linear prediction perform like maxiumum likelihood," IEEE Proc., 70 (9) 975-989 1982.
153. H. Krim and M. Viberg, "Two decades of array signal processing research," IEEE Signal Proc. Mag., 13, 67-94, 1996.
154. P. Gill, W. Murray and M. Wright, Practical Optimization, New York: Academic Press, 1983.
155. M. Hinich, "Maximum likelihood signal processing for a vertical array," J. Acoust. Soc. Am., 54, 499-503, 1973.
156. H. Bucker, "Use of calculated sound fields and matched-field detection to locate sound in shallow water," J. Acoust. Soc. Am., 59, 329-337, 1976.
157. E. Sullivan and D. Middleton, "Estimation and detection issues in matched-field processing," IEEE J. Oceanic Eng., 18, 156-167, 1993.
158. A. Baggeroer, W. Kuperman and H. Schmidt, "Matched-field processing: source localization in correlated noise as an optimum parameter estimation problem," J. Acoust. Soc. Am., 83, 571-587, 1988.
159. B. D. Anderson and J. B. Moore, Optimal Filtering, Englewood Cliffs, NJ: Prentice-Hall, 1979.
160. J. V. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
161. G. E. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, San Francisco: Holden-Day, 1976.
162. R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems," J. Basic Eng., Vol. 82, 35-43 1960.
163. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
164. T. Kailath, "The innovations approach to detection and estimation theory," Proc. IEEE, 58, 680-695, 1970.
165. T. Kailath, Lectures on Kalman and Wiener Filtering Theory, New York: Springer-Verlag, 1981.
166. A. P. Sage and J. L. Melsa, Estimation Theory with Applications to Communications and Control, New York: McGraw-Hill, 1971.
167. A. P. Sage and J. L. Melsa, System Identification, New York: Academic Press, 1971.
168. G. C. Goodwin and R. L. Payne, Dynamic System Identification, New York: Academic Press, 1976.
169. P. Meyer, Introductory Probability and Statistical Applications, Reading, MA: Addison-Wesley, 1965.
170. G. Jenkins and J. Watts, Spectral Analysis, San Francisco: Holden-Day, 1969.
171. R. K. Mehra and J. Peschon, "An innovations approach to fault detection and diagnosis in dynamic systems," Automatica, 7, 637-640, 1971.
172. A. S. Wilsky, "A survey of design methods for failure detection in dynamic systems," Automatica, 12, 601-611, 1976.
173. W. C. Martin and A. R. Stubberud, "The innovations process with application to identification," in C. T. Leondes (ed.), Control and Dynamic Systems, New York: Academic Press, 1976.
174. F. Schweppe, Uncertain Dynamic Systems, Engelwood Cliffs, NJ: Prentice-Hall, 1973.
175. J. V. Candy and P. M. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Applications, 2 (3), 33-42 1993 (see http://www.technisoft.net for more details).
176. L. J. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
177. T. Soderstrom and P. Stoica, System Identification, New York: Academic Press, 1989.
178. P. Maybeck, Stochastic Models, Estimation, and Control, New York: Academic Press, 1979.
179. M. T. Silvia and E. A. Robinson, Deconvolution of Geophysical Time Series in the Exploration of Oil and Natural Gas, New York: Elsevier, 1979.
180. J. Mendel, J. Kormylo, J. Lee, and F. Ashirafi, "A novel approach to seismic signal processing and modeling," Geophysics, 46, 1398-1414, 1981.
181. J. V. Candy and J. E. Zicker, "Deconvolution of noisy transient signals: A Kalman filtering application," LLNL Rep., UCID-87432; and Proc. CDC Conf., Orlando, 1982.
182. J. V. Candy and R. B. Rozsa, "Safeguards for a plutonium concentrator-An applied estimation approach," Automatica, 16, 615-627, 1980.
183. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications and Control, Englewood Cliffs, NJ: Prentice-Hall, 1995.
184. G. J. Bierman, Factorization Methods of Discrete Sequential Estimation, New York: Academic Press, 1977.
185. P. Faurre, "Stochastic realization algorithms," in System Identification: Advances and Case Studies, R. Mehra and C. Laineotis (eds.), New York: Academic Press, 1976.
186. D. R. Dunn, "Dynamic models, estimation and detection concepts for safeguarding Pu(NO3)4 storage tanks," LLNL Rep., UCRL-79216, 1977.
187. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
188. A. P. Sage and J. L. Melsa, Estimation Theory with Applications to Communications and Control, New York: McGraw-Hill, 1971.
189. A. Gelb, Applied Optimal Estimation, Cambridge: MIT Press, 1975.
190. B. D. Anderson and J. B. Moore, Optimal Filtering, Englewood Cliffs, NJ: Prentice-Hall, 1979.
191. P. Maybeck, Stochastic Models, Estimation, and Control, New York: Academic Press, 1979.
192. M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice, Englewood Cliffs, NJ: Prentice-Hall, 1993.
193. J. M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications and Control, Englewood Cliffs, NJ: Prentice-Hall, 1995.
194. J. V. Candy and P. M. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Applications, 2 (3), 33-42 1993 (see http://www.technisoft.net for more details).
195. J. V. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
196. Y. Bar-Shalom and X. Li, Estimation and Tracking: Principles, Techniques, and Software, Norwood, MA: Artech House, 1993.
197. B. Bell and F. Cathey, "The iterated Kalman filter update as a Gauss-Newton method," IEEE Trans. Autom. Contr., 38 (2), 294-297, 1993.
198. J. V. Candy and R. B. Rozsa, "Safeguards for a plutonium-nitrate concentrator-An applied estimation approach," Automatica, 16, 615-627 1980.
199. J. V. Candy and E. J. Sullivan, "Ocean acoustic signal processing: A model-based approach," J. Acoust. Soc. Am., 92, 3185-3201, 1992.
200. J. Mendel, J. Kormylo, J. Lee, and F. Ashirafi, "A novel approach to seismic signal processing and modeling," Geophysics, 46, 1398-1414, 1981.
201. H. W. Sorenson, ed., "Special issue on applications of Kalman filtering," IEEE Trans. Auto. Contr., 28 (3), 253-427, 1983.
202. G. J. Bierman, Factorization Methods of Discrete Sequential Estimation, New York: Academic Press, 1977.
203. V. J. Aidala and S. M. Hammel, "Utilization of modified polar-coordinates for bearingsonly tracking," IEEE Trans. Autom. Contr., 28, 283-294, 1983.
204. V. J. Aidala, "Kalman filter behavior in bearings-only velocity and position estimation," IEEE Trans. Aerosp. Electron. Syst., 15, 29-39, 1979.
205. L. J. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
206. M. Athans, R. Wishner, and A. Berolini, "Suboptimal state estimation for continuoustime nonlinear systems from discrete noisy measurements," IEEE Trans. Autom. Contr., 13 (4), 504-514, 1968.
207. S. J. Julier, J. K. Uhlmann, and H. F. Durrant-Whyte, "A new approach for filtering in nonlinear systems," Proc. Am. Contr. Conf., 1995.
208. S. J. Julier and J. K. Uhlmann, A General Method for Approximating Nonlinear Transformations of Probability Distributions, Univ. of Oxford Report, http://www.robots.ox.ac.uk/~siju 1996.
209. S. J. Julier, J. K. Uhlmann and H. F. Durrant-Whyte, "A new method for the nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Autom. Contr., 45 (3), 477-482, 2000.
210. A. F. Smith and A. E. Gelfand, "Bayesian statistics without tears: A samplingresampling perspective," Am. Statistic., 46 (2), 84-88 1992.
211. S. J. Julier and J. K. Uhlmann, "A new extension of the Kalman filter to nonlinear systems," Proc. SPIE Conf., Orlando, FL, 1997.
212. A. Papoulis, Probability, Random Variables, and Stochastic Processes, New York: McGraw-Hill, 1991.
213. S. J. Julier and J. K. Uhlmann, "A consistent, debiased method for converting between polar and cartesian coordinate systems," Proc. SPIE Conf., 1997.
214. S. Haykin, Kalman Filtering and Neural Networks, New York: Wiley, 2001.
215. E. A. Wan and R. van der Merwe, "The unscented Kalman filter for nonlinear estimation," Proc. IEEE Symp. Adaptive Sys. Sig. Proc., Comm. Contr., Lake Louise, Alberta, 2000.
216. R. van der Merwe, A. Doucet, N. de Freitas, and E. A. Wan, "The unscented particle filter," Cambridge University Tech. Report, CUED/F-INFENG-380, 2000.
217. J. V. Candy and J. E. Zicker, "Deconvolution of noisy transient signals: A Kalman filtering application," LLNL Rep., UCID-87432; and Proc. CDC Conf., Orlando, 1982.
218. P. Djuric, J. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M. Bugallo, and J. Miguez, "Particle filtering," IEEE Signal Proc. Mag., 20 (5), 19-38, 2003.
219. S. Haykin and N. de Freitas, eds., "Sequential state estimation: From Kalman filters to particle filters," Proc. IEEE, 92 (3), 399-574, 2004.
220. R. van der Merwe and E. A. Wan, REBEL: Recursive Bayesian Estimation Library University of Oregon, (see http://choosh.ece.ogi.edu/rebel for more details), 2002.
221. B. Widrow and S. Stearns, Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1984.
222. S. Haykin, Adaptive Filter Theory, 3rd Ed., Englewood Cliffs; NJ: Prentice-Hall, 1996.
223. R. Monzingo and T. Miller, Introduction to Adaptive Arrays, New York: Wiley, 1980.
224. G. Goodwin and K. Sin, Adaptive Filtering, Prediction and Control, Englewood Cliffs, NJ: Prentice-Hall, 1984.
225. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge: MIT Press, 1983.
226. P. Eykhoff, System Identification-Parameter and State Estimation, New York: Wiley, 1974.
227. D. Luenberger, Optimization by Vector Space Methods, New York: Wiley, 1969.
228. D. Luenberger, Introduction to Linear and Nonlinear Programming, Reading, MA: Addison-Wesley, 1973.
229. P. Gill, W. Murray, and M. Wright, Practical Optimization, New York: Academic Press, 1983.
230. A. Sayed, Fundamentals of Adaptive Filtering Hoboken, NJ: Wiley, 2003.
231. G. Noble, Applied Linear Algebra, Englewood Cliffs, NJ: Prentice-Hall, 1967.
232. S. Orfanidis, Optimum Signal Processing, New York: Macmillan, 1985.
233. R. Bitmead and B. Anderson, "Adaptive frequency sampling filters," IEEE Trans. Circ. Syst., 28, 524-535, 1981.
234. M. Hayes, Statistical Digital Signal Processing and Modeling, New York: Wiley, 1996.
235. R. Bitmead and B. Anderson, "Performance of adaptive estimation algorithms in dependent random environments," IEEE Trans. Auto. Contr., 25, 788-794, 1980.
236. Mathworks, MATLAB User's Manual, Boston: Mathworks, 1990.
237. B. Friedlander, "System identification techniques for adaptive signal processing," Circ. Syst. Signal Process., 1, 3-41, 1982.
238. L. Griffiths, "A continuously adaptive filter implemented as a lattice structure," Proc. ICASSP, 1977.
239. J. Candy, Signal Processing: The Modern Approach, New York: McGraw-Hill, 1988.
240. S. Kay, Modern Spectral Estimation, Englewood Cliffs, NJ: Prentice-Hall, 1988.
241. C. Cowen and P. Grant, Adaptive Filters, Englewood Cliffs, NJ: Prentice-Hall, 1985.
242. L. Griffiths "Rapid measurement of digital instantaneous frequency," IEEE Trans. Acoust. Speech Signal Process., 23, 207-222 1975.
243. L. Griffiths "An adaptive lattice structure for noise-cancelling applications," Proc. ICASSP, 1978.
244. M. Morf and D. Lee, "Recursive least-squares ladder forms for fast parameter tracking," Proc. IEEE CDC Conf., 1979.
245. D. Lee, M. Morf, and B. Friedlander, "Recursive least-squares ladder estimation algorithms," IEEE Trans. Circuits Syst., 28, 467-481, 1981.
246. B. Widrow, J. Glover, J. McCool, J. Kaunitz, C. Williams, R. Hearn, J. Zeidler, E. Dong, and R. Goodlin, "Adaptive noise canceling: Principles and applications," Proc. IEEE, 63, (12), 1692-1716 1975.
247. J. Zeidler, "Performance analysis of LMS adaptive prediction filters," Proc. IEEE, 78, (12), 1781-1806 1990.
248. P. Clarkson, Optimal and Adaptive Signal Processing, Boca Raton, FL: CRC Press, 1993.
249. J. Candy, T. Casper, and R. Kane, "Plasma estimation: A noise-canceling application," Automatica, 22, 223-229, 1986.
250. L. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
251. L. J. Ljung, System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
252. L. J. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge: MIT Press, 1983.
253. V. M. Popov, Hyperstability of Control Systems, New York: Springer-Verlag, 1973.
254. P. L. Faurre, "Stochastic realization algorithms," in System Identification: Advances and Case Studies, R. Mehra and D. Lainiotis eds., New York: Academic Press, 1976.
255. E. Tse and H. Wiennert, "Structure determination and parameter identification for multivariable stochastic linear systems," IEEE Trans. Auto. Control, 20, 603-613, 1975.
256. K. Glover and J. C. Willems, "Parameterizations of Linear Dynamical systems: canonical forms and identifiability," IEEE Trans. Auto. Control, 19, 640-646, 1974.
257. M. Denham, "Canonical forms for identification of multivariable linear systems," IEEE Trans. Auto. Control, 19, 646-656, 1974.
258. R. Mehra, "Approaches to adaptive filtering," IEEE Trans. Auto. Control, 17, 693-698, 1972.
259. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
260. R. Mehra, "On the identification of variances and adaptive Kalman filtering," IEEE Trans. Auto. Contr., 15, 175-184, 1970.
261. R. Mehra, "On-line identification of linear dynamic systems with applications to Kalman filtering," IEEE Trans. Auto. Contr., 16, 12-21, 1971.
262. T. Soderstrom and P. Stoica, System Identification, Englewood Cliffs, NJ: Prentice-Hall, 1989.
263. J. P. Norton, An Introduction to Identification, New York: Academic Press, 1986.
264. L. Ljung, "Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems," IEEE Trans. Auto. Control, 24, 36-50, 1979.
265. J. V. Candy and P. M. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Applic., 2 (3), 33-42, 1993 (see http://www.technisoft.net for more details).
266. S. Haykin, Kalman Filtering and Neural Networks, New York: Wiley, 2001.
267. W. M. Carey, J. Doutt, R. Evans, and L. Dillman, "Shallow water transmission measurements taken on the New Jersey continental shelf," IEEE J. Oceanic Engr., 20 (4), 321-336, 1995.
268. J. V. Candy, Signal Processing: The Model-Based Approach. New York: McGraw-Hill, 1986.
269. A. Tolstoy, "Review of matched field processing for environmental inverse problems," Int. J. Modern Phys., 3 (4), 691-708, 1992.
270. A. Tolstoy, Matched Field Processing for Ocean Acoustics, Singapore: World Scientific, 1993.
271. C. Feuillade, D. Del Balzo, and M. Rowe, "Environmental mismatch in shallow-water matched-field processing: geoacoustic parameter variability," J. Acoust. Soc. Am., 85 (6), 2354-2364, 1989.
272. R. Hamson, and R. Heitmeyer, "Environmental and system effects on source localization in shallow water by the matched-field processing of a vertical array," J. Acoust. Soc. Am., 86, 1950-1959, 1989.
273. J. V. Candy and E. J. Sullivan, "Sound velocity profile estimation: A system theoretic approach," IEEE Trans. Ocean Eng., 18 (3), 240-252, 1993.
274. J. V. Candy and E. J. Sullivan, "Model-based environmental inversion: a shallow water application," J. Acoust. Soc. Am., 98, 1446-1454, 1995.
275. F. B. Jensen and M. C. Ferla, SNAP: the SACLANTCEN normal-mode acoustic propagation model," SACLANTCEN Report, SM-121, SACLANT Undersea Research Centre, La Spezia, Italy, 1982.
276. N. Yen and W. Carey, "Application of synthetic aperture processing to towed array data," J. Acoust. Soc. Am., 86, 754-765, 1989.
277. C. S. Clay, and H. Medwin, Acoustical Oceanography, New York: Wiley, 1977.
278. J. V. Candy and E. J. Sullivan, "Ocean acoustic signal processing: A model-based approach," J. Acoust. Soc. Am., 92, 3185-3201, 1992.
279. Mathworks, MATLAB Users Manual, Natick, MA: Mathworks, 1990.
280. A. Gelb, Applied Optimal Estimation, (Cambridge: MIT Press, 1975).
281. Lincoln Laboratory, "Reduction, analysis, and reporting of measurements from KMR sensors." Lexington, MA: MIT Lincoln Labs., Mar. 1997.
282. H. Goldstein, Classical Mechanics, Reading, MA:Addison-Wesely, 1980.
283. J. M. Goodman and J. Arons. "Ionospheric Effects on Modern Electronic Systems," Proc. IEEE., 78 (3), 512-527, 1990.
284. C. M. Rush. "Ionospheric radio propagation models and predictions-A mini-review," IEEE Trans. Ant. Propag., 34 (9), 1163-1170, 1986.
285. J. V. Candy. "Processing of reentry vehicle signatures from radar tracking data," LLNL Report, UCRL-130433, 1998.
286. R. K. Crane, "Ionospheric scintillation," IEEE Proc., 65 (2), 180-199, 1977.
287. J. V. Candy, Signal Processing: The Modern Approach, New York: McGraw-Hill, 1988.
288. J. V. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
289. L. Ljung. System Identification: Theory for the User, Englewood Cliffs, NJ: Prentice-Hall, 1987.
290. C. B. Scuby and L. E. Drain, Laser Ultrasonics: Techniques and Applications, Philadelphia: Hilger, 1990.
291. J. D. Aussel and J. P. Monchalin, "Precision laser-ultrasonic velocity measurement and elastic constant determination," Ultrasonics, 27, 165-177, 1989.
292. J. B. Spicer and J. W. Wagner, "Comprehensive modelling of laser ultrasonic waveforms for materials characterization," in Acousto-Optics and AcousticMicroscopy, S. M. Gracewski and T. Kundu, eds., ASME AMD, 140 (American Society of Mechanical Engineers), 163-179, 1992.
293. J. V. Candy, G. H. Thomas, D. J. Chinn, and J. B. Spicer, "Laser ultrasonic signal processing: A model-reference approach." J. Acoust. Soc. Am., 100 (1), 278-284, 1996.
294. E. Robinson and S. Treitel, Geophysical Signal Analysis, Englewood Cliffs, NJ: Prentice-Hall, 1980.
295. D. B. McCallen, "Ground motion estimation and nonlinear seismic analysis," Lawrence Livermore National Laboratory Report UCRL-JC-121667, 1995.
296. D. B. McCallen and A. Astaneh-Asl, "Computational simulation of the nonlinear response of suspension bridges," Lawrence Livermore National Laboratory Report UCRL-JC-128901, 1997.
297. J. V. Candy and R. B. Rozsa, "Safeguards design for a plutonium nitrate concentrator-an applied estimation approach," Automatica, 16, 615-627, 1980.
298. J. V. Candy and E. J. Sullivan, "Ocean acoustic signal processing: A model-based approach," J. Acoust Soc. Am., 92 (6), 3185-3201, 1992.
299. V. Wowk, Machinery Vibration: Measurement and Analysis, New York: McGraw-Hill, 1991.
300. H. L. Van Trees, Detection, Estimation and Modulation Theory, New York: Wiley, 1968.
301. D. F. Specht, "Probabilistic neural networks and the polynomial Adaline as complimentary techniques for classification," IEEE Trans. Neur. Networks, 1, 111-121, 1990.
302. J. V. Candy and H. E. Jones, "Processing of prosthetic heart valve sounds for single leg separation classification," J. Acoust. Soc. Am., 65 (2), 180-199, 1994.
303. J. V. Candy and H. E. Jones, "Classification of prosthetic heart valve sounds: A parametric approach," J. Acoust. Soc. Am., 65 (2), 180-199, 1994.
304. J. V. Candy and P. M. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Appl., 2(3), 33-42, 1993 (see also http://www.technisoft.net).
305. Mathworks, MATLAB Users Manual, Natick, MA: Mathworks, 1990.
306. S. G. Azevedo, J. V. Candy, and D. L. Lager, "On-line failure detection of vibrating structures," Proc. ASME Conf. Mechanical Vibrations and Noise, Hartford, CT, 1980.
307. E. J. Sullivan, W. Carey, and S. Stergiopoulos, eds., "Special issue on acoustic synthetic aperture processing", IEEE Trans. Ocean. Engr., 17, 1993.
308. S. Stergiopoulos and E. J. Sullivan, "Extended towed array processing by an overlap correlator," J. Acoust. Soc. Am., 86, 158-171, 1989.
309. N. Yen and W. Carey, "Application of synthetic aperture processing to towed array data," J. Acoust. Soc. Am., 86, 754-765, 1989.
310. E. J. Sullivan and J. V. Candy, "Passive synthetic aperture processing as a Kalman filter problem," J. Acoust Soc. Am., 95 (5, Prt. 2), 2953, 1994.
311. M. J. Hinich, "Maximum likelihood signal processing for a vertical array," J. Acoust Soc. Am., 54, 499-503, 1973.
312. E. J. Sullivan and J. V. Candy, "Space-time processing: The model-based approach," J. Acoust Soc. Am., 102 (5), 2809-2820, 1997.
313. C. S. Clay, and H. Medwin, Acoustical Oceanography, New York: Wiley, 1977.
314. W. M. Carey, J. Doutt, R. Evans, and L. Dillman, "Shallow water transmission measurements taken on the New Jersey continental shelf," IEEE J. Oceanic Engr., 20 (4), 321-336, 1995.
315. J. V. Candy and E. J. Sullivan. "Model-based processor design for a shallow water ocean acoustic experiment," J. Acoust. Soc. Am., 95 (4), 2038-2051, 1994.
316. J. V. Candy and E. J. Sullivan "Model-based processing of a large aperture array," IEEE Trans. Ocean Eng., 19 (4), 519-528, 1994.
317. P. E. Gill, W. Murray and M. H. Wright, Practical Optimization, New York: Academic Press, 1981.
318. J. A. Nelder and R. Mead, "A simplex method for function minimization," Computer J., 7, 308-313, 1965.
319. A. Grace, Optimization toolbox for use with MATLAB, Boston: MathWorks, 1992.
320. J. V. Candy and E. J. Sullivan, "Passive localization in ocean acoustics: A model-based approach," J. Acoust Soc. Am., 98 (3), 1455-1471, 1995.
321. G. B. Whitham, Linear and Nonlinear Waves, New York: Wiley, 1974.
322. J. R. Apel, Principles of Ocean Physics, New York: Academic Press, 1987.
323. J. V. Candy and D. H. Chambers. "Internal wave processing: A model-based approach." IEEE J. Oceanic Engr., 21 (1), 37-52, 1996.
324. J. V. Candy and D. H. Chambers. "Model-based dispersive wave processing: A recursive Bayesian solution." J. Acoust Soc. Am., 105 (6), 3364-3374, 1999.
325. B. C. Barber, "On the dispersion relation for trapped internal waves," J. Fluid Mechs., 252, 31-49, 1993.
326. M. Milder, Internal Waves Radiated by a Moving Source: Analytic Simulation, RDA Report, RDA-TR-2702-007, 1974.
327. D. D. Mantrom, "Loch Linnhe'94: Test operations description and on-site analysis US activities," LLNL Report., UCRL-ID-119197, 1994.
328. H. F. Robey and D. L. Ravizza, "Loch Linnhe experiment 1994: Background stratification and shear measurements. Part 1: Profile summary and dispersion relations," LLNL Report., UCRL-ID-119352, 1994.
329. C. V. Theis, "The relation between the lowering of the piezometric surface and the rate and duration of discharge of a well using groundwater storage," Trans. Am. Geophys. Union, 16, 519-524, 1935.
330. C. E. Jacob, "Flow of groundwater," in Engineering Hydraulics, H. Rouse, Ed., New York: Wiley, 1950.
331. R. J. DeWiest, "On the storage coefficient and the equations of groundwater flow," J. Geophys. Res., 71 (4), 1117-1121, 1966.
332. S. N. Davis and R. J. DeWiest, Hydrogeology, New York: Wiley, 1966.
333. S. A. Azevedo, T. A. Doerr, J. V. Candy, and K. D. Pimental, "State-space models for state and parameter estimation in groundwater flow," LLNL Report, UCID-18575, 1980.
334. K. D. Pimental, J. V. Candy, S. A. Azevedo, and T. A. Doerr, "Simplified groundwater flow modeling: an application of Kalman filter based identification," Math. Comput. Simul., 24, 140-151, 1982.
335. A. Papoulis, Probability, Random Variables and Stochastic Processes, New York: McGraw-Hill, 1991.
336. R. Hogg and A. Craig, Introduction to Mathematical Statistics, New York: Macmillan, 1970.
337. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
338. G. Bierman, Factorization Methods for Discrete Sequential Estimation, New York: Academic Press, 1977.
339. G. Bierman, Factorization Methods for Discrete Sequential Estimation, New York: Academic Press, 1977.
340. A. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970.
341. D. Gavel, Personal communication on sequential measurement processing, 1982;
342. J. Candy and P. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Applications, 2 (3), 33-42 1993 (see http://www.technisoft.net for more details).
343. J. Candy and P. Candy, "SSPACK PC: A model-based signal processing package on personal computers," DSP Applications, 2 (3), 33-42 1993 (see http://www.technisoft.net for more details).
344. G. Bierman, Factorization Methods for Discrete Sequential Estimation, New York: Academic Press, 1977.
345. Technical Software Systems, "SSPACK PC: State-space systems software package," Techni-Soft, User's Manual, 1993.
346. A. Gelb, Optimal Estimation, Cambridge: MIT Press, 1975.
347. J. Candy, Signal Processing: The Model-Based Approach, New York: McGraw-Hill, 1986.
348. B. Anderson and J. Moore, Optimal Filtering, Englewood Cliffs, NJ: Prentice-Hall, 1979.
349. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, Cambridge: MIT Press, 1983.
350. S. Azevedo, J. Candy and D. Lager, "SSPACK PC: An interactive state-space systems software package," Proc. CACSD'85 Conf., Santa Barbara, CA, 1985.
351. S. Azevedo, J. Candy, and D. Lager, "SSPACK: A multi-channel signal processing package," Proc. IEEE Circ. Syst. Conf., San Jose, CA, 1986.