Adaptive Filtering: Algorithms and Practical Implementation

From the Publisher: Adaptive Filtering: Algorithms and Practical Implementation is a concise presentation of adaptive filtering, covering as many algorithms as possible while avoiding adapting notations and derivations related to the different algorithms. Furthermore, the book points out the algorithms which really work in a finite-precision implementation, and provides easy access to the working algorithms for the practicing engineer. Adaptive Filtering: Algorithms and Practical Implementation may be used as the principle text for courses on the subject, and serves as an excellent reference for professional engineers and researchers in the field.

[1]  Robert Price,et al.  A useful theorem for nonlinear devices having Gaussian inputs , 1958, IRE Trans. Inf. Theory.

[2]  A. Peterson,et al.  Transform domain LMS algorithm , 1983 .

[3]  S. Mitra,et al.  A unified approach to time- and frequency-domain realization of FIR adaptive digital filters , 1983 .

[4]  Neil J. Bershad.  Comments on "Comparison of the convergence of two algorithms for adaptive FIR digital filters" , 1985, IEEE Trans. Acoust. Speech Signal Process..

[5]  Jae Chon Lee,et al.  Performance of transform-domain LMS adaptive digital filters , 1986, IEEE Trans. Acoust. Speech Signal Process..

[6]  Leonid G. Kazovsky,et al.  Adaptive filters with individual adaptation of parameters , 1986 .

[7]  Richard W. Harris,et al.  A variable step (VS) adaptive filter algorithm , 1986, IEEE Trans. Acoust. Speech Signal Process..

[8]  Ping Xue,et al.  Adaptive equalizer using finite-bit power-of-two quantizer , 1986, IEEE Trans. Acoust. Speech Signal Process..

[9]  V. J. Mathews,et al.  Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm , 1987, IEEE Trans. Acoust. Speech Signal Process..

[10]  Jerry D. Gibson,et al.  Digital coding of waveforms: Principles and applications to speech and video , 1985, Proceedings of the IEEE.

[11]  FATHY F. YASSA,et al.  Optimality in the choice of the convergence factor for gradient-based adaptive algorithms , 1987, IEEE Trans. Acoust. Speech Signal Process..

[12]  A. Gilloire,et al.  Experiments with sub-band acoustic echo cancellers for teleconferencing , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  W. Kenneth Jenkins,et al.  A fast quasi-Newton adaptive filtering algorithm , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[14]  Arie Feuer,et al.  Convergence and performance analysis of the normalized LMS algorithm with uncorrelated Gaussian data , 1988, IEEE Trans. Inf. Theory.

[15]  C. Richard Johnson,et al.  A comparison of two quantized state adaptive algorithms , 1989, IEEE Trans. Acoust. Speech Signal Process..

[16]  W. Jenkins,et al.  A cascade implementation of a new IIR adaptive digital filter with global convergence and improved convergence rates , 1989, IEEE International Symposium on Circuits and Systems,.

[17]  Sanjit K. Mitra,et al.  Adaptive line enhancement using multirate techniques , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[18]  Piet Sommen.  Partitioned frequency domain adaptive filters , 1989, Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989..

[19]  Sung Ho Cho,et al.  Tracking analysis of the sign algorithm in nonstationary environments , 1990, IEEE Trans. Acoust. Speech Signal Process..

[20]  Pedro M. Crespo,et al.  Pole-Zero Decision Feedback Equalization with a Rapidly Converging Adaptive IIR Algorithm , 1991, IEEE J. Sel. Areas Commun..

[21]  V. John Mathews,et al.  Performance analysis of adaptive filters equipped with the dual sign algorithm , 1991, IEEE Trans. Signal Process..

[22]  Sergios Theodoridis,et al.  Fast Newton transversal filters-a new class of adaptive estimation algorithms , 1991, IEEE Trans. Signal Process..

[23]  E. Eweda.  Convergence analysis and design of an adaptive filter with finite-bit power-of-two quantized error , 1992 .

[24]  Martin Vetterli,et al.  Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation , 1992, IEEE Trans. Signal Process..

[25]  J. Shynk.  Frequency-domain and multirate adaptive filtering , 1992, IEEE Signal Processing Magazine.

[26]  Phillip A. Regalia,et al.  Stable and efficient lattice algorithms for adaptive IIR filtering , 1992, IEEE Trans. Signal Process..

[27]  Luiz W. P. Biscainho,et al.  Optimal variable step size for the LMS/Newton algorithm with application to subband adaptive filtering , 1992, IEEE Trans. Signal Process..

[28]  Dirk T. M. Slock,et al.  On the convergence behavior of the LMS and the normalized LMS algorithms , 1993, IEEE Trans. Signal Process..

[29]  H. Fan,et al.  On 'global convergence' of Steiglitz-McBride adaptive algorithm , 1993 .

[30]  R. Mammone,et al.  An adaptive algorithm for stable decision-feedback filtering , 1993 .

[31]  Juan E. Cousseau,et al.  A consistent Steiglitz-McBride algorithm , 1993, 1993 IEEE International Symposium on Circuits and Systems.

[32]  M. R. Petraglia,et al.  Adaptive FIR filter structure based on the generalized subband decomposition of FIR filters , 1993 .

[33]  Andreas Antoniou,et al.  Environment estimation for enhanced NLMS adaptation , 1993, Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing.

[34]  Andreas Antoniou,et al.  Analysis of LMS-Newton adaptive filtering algorithms with variable convergence factor , 1995, IEEE Trans. Signal Process..

[35]  Juan E. Cousseau,et al.  New adaptive IIR filtering algorithms based on the Steiglitz-McBride method , 1997, IEEE Trans. Signal Process..