Adaptive filter theory

著者

• Haykin, Simon S.

書誌事項

Adaptive filter theory

Simon Haykin

（Prentice-Hall information and system sciences series）

Prentice-Hall, c1991

2nd ed

• : pbk

注記

Bibliography: p. 817-844

Includes index

内容説明・目次

巻冊次

: pbk ISBN 9780130055132

内容説明

This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations, extensions and discussions. New features includes new chapters on QR decomposition-based lattice filters, on blind deconvolution, new appendix material on complex variables and regulation.

目次

• Discrete-time side-sense stationary stochastic processes - stationary processes and models
• spectrum analysis
• eigenanalysis. Linear optimum filtering - wiener filters
• linear prediction
• kalman filters. Linear fir adaptive filtering - method of steepest descent
• stochastic gradient-based algorithms
• linear least-squares estimation
• method of least squares
• singular value decomposition
• supter-resolution algorithms using eigenvector-based projects
• standard recursive least squares estimation
• recursive least-squares systolic arrays
• background theory for fast recursive algorithms
• fast transversal filters
• recursive least-squares lattice filters
• QR decomposition-based least squares lattice filters. Limitations, extensions and discussions - finite-precision and other practical effects
• blind convolution
• discussion.

巻冊次

ISBN 9780130132369

内容説明

This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations, extensions and discussions. New features includes new chapters on QR decomposition-based lattice filters, on blind deconvolution, new appendix material on complex variables and regulation.

目次

• Discrete-time side-sense stationary stochastic processes - stationary processes and models
• spectrum analysis
• eigenanalysis. Linear optimum filtering - Wiener filters
• linear prediction
• Kalman filters. Linear Fir adaptive filtering - method of steepest descent
• stochastic gradient-based algorithms
• linear least-squares estimation
• method of least squares
• singular value decomposition
• super-resolution algorithms using eigenvector-based projects
• standard recursive least squares estimation
• recursive least-squares systolic arrays
• background theory for fast recursive algorithms
• fast transversal filters
• recursive least-squares lattice filters
• QR decomposition-based least squares lattice filters. Limitations, extensions and discussions - finite-precision and other practical effects
• blind convolution
• discussion.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA12545953
• ISBN:
  • 0130132365
  • 0130055131
• LCCN: 90020418
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Englewood Cliffs, N.J.
• ページ数/冊数: xx, 854 p.
• 大きさ: 25 cm
• 分類:
  • LCC : TK7872.F5
  • DC19 : 621.3815/324
  • NDC8 : 549.3
• 件名:
  • LCSH : Adaptive filters
• 親書誌ID:
  • BA00285185