Adaptive System Identification and Signal Processing Algorithms

Adaptive System Identification and Signal Processing Algorithms

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An account of an important class of algorithmic families for adaptive system identification and signal processing. The LMS family and R&S and its fast versions, as well as the back propagation algorithms for neural networks, are examined in the context of algorithmic efficiency; that is, the issues of convergence, tracking, computational complexity, parallelism, roundoff error robustness and stability. The chapters are presented in such as way as to provide the basic derivation guidelines as well as the necessary performance analysis without sacrificing rigour. Typical applications areas such as channel equalization, echo concealment, spread spectrum RAKE receiver design and spectral analysis are presented and more

Product details

  • Hardback | 400 pages
  • 174 x 235 x 38.1mm | 983g
  • Pearson Education Limited
  • Prentice-Hall
  • Harlow, United Kingdom
  • English
  • 0130065455
  • 9780130065452

Table of contents

Basic concepts and algorithmic schemes, N. Kalouptsidis and S. Theodoridis; general structure of adaptive algorithms - adaptation and tracking, L. Ljung; the LMS family, W. Sethares; fast transversal RLS algorithms, D. Slock and T. Kailath; lattic algorithms, F. Ling; the QR family, J.G. McWhirter and I. Proudler; circular lattices, Sakai; channel equalization, C.F.N. Cowan; echo cancellation, F. Ling; interference rejections and channel estimation for spread-spectrum comms, R. Iltis; spectral analysis for adaptive signal processing, S. Theodoridis and N. Kalouptsidis; neural networks, S. more