A deconvolution filter for multichannel nonminimum phase systems via the minimax approach

[1]  R. Wooldridge,et al.  Advanced Engineering Mathematics , 1967, The Mathematical Gazette.

[2]  H. Kaufman,et al.  The Kalman Filter for the Equalization of a Digital Communications Channel , 1971 .

[3]  J. Mendel.  White-noise estimators for seismic data processing in oil exploration , 1977 .

[4]  C. Sims,et al.  Adaptive Deconvolution of Seismic Signals , 1978 .

[5]  E. Robinson,et al.  Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas , 1979 .

[6]  M. A. Kaashoek,et al.  Minimal Factorization of Matrix and Operator Functions , 1980 .

[7]  S. Power.  Hankel Operators on Hilbert Space , 1980 .

[8]  A. K. Mahalanabis,et al.  Adaptive Filter Structures for Deconvolution of Seismic Signals , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[9]  J. Mendel,et al.  Performance of minimum-variance deconvolution filter , 1984 .

[10]  Bor-Sen Chen,et al.  The robustness optimization of a multivariable feedback system in Hankel norm space , 1984 .

[11]  H. Vincent Poor,et al.  On minimax robustness: A general approach and applications , 1984, IEEE Trans. Inf. Theory.

[12]  M. Grimble.  Polynomial systems approach to optimal linear filtering and prediction , 1985 .

[13]  H. Kwakernaak.  Minimax frequency domain performance and robustness optimization of linear feedback systems , 1985 .

[14]  S.A. Kassam,et al.  Robust techniques for signal processing: A survey , 1985, Proceedings of the IEEE.

[15]  T. Moir.  Optimal deconvolution smoother , 1986 .

[16]  B. Francis,et al.  A Course in H Control Theory , 1987 .

[17]  J. Ball,et al.  Optimal Hankel Norm model reductions and Weiner-Hopf factorization I: the canonical case , 1987 .

[18]  M. Verma.  Design of H ∞ -optimal feedback systems , 1987 .

[19]  Demetrios G. Lainiotis,et al.  Adaptive deconvolution of seismic signals-performance, computational analysis, parallelism , 1988, IEEE Trans. Acoust. Speech Signal Process..

[20]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[21]  M. Vidyasagar.  Control System Synthesis : A Factorization Approach , 1988 .

[22]  Roman Kuc,et al.  Introduction to Digital Signal Processing , 1988 .

[23]  Anders Ahlén,et al.  Optimal deconvolution based on polynomial methods , 1989, IEEE Trans. Acoust. Speech Signal Process..

[24]  M. Grimble,et al.  H∞ Robust Linear Estimator , 1990 .

[25]  Michael J. Grimble,et al.  Solution of the H∞ optimal linear filtering problem for discrete-time systems , 1990, IEEE Trans. Acoust. Speech Signal Process..

[26]  Luigi Chisci,et al.  A general polynomial solution to the MMSE deconvolution problem , 1991, IEEE Trans. Signal Process..

[27]  Bor-Sen Chen,et al.  Optimal deconvolution filter design based on orthogonal principle , 1991, Signal Process..