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Adaptive filter theory / Simon Haykin, Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada

By: Haykin, Simon S, 1931-.
Material type: TextTextPublisher: Upper Saddle River, New Jersey : Pearson, [2014]Edition: 5th ed.Description: xvii, 889 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780132671453; 013267145X.Subject(s): Adaptive filtersDDC classification: 621.3815824
Contents:
Preface -- Acknowledgments -- Background and preview -- Stochastic processes and models -- Wiener filters -- Linear prediction -- Method of steepest descent -- Method of stochastic gradient descent -- The least-mean-square (LMS) algorithm -- Normalized least-mean-square (LMS) algorithm and its generalization -- Block-adaptive filters -- Method of least-squares -- The recursive least-square (RLS) algorithm -- Robustness -- Finite-precision effects -- Adaptation in nonstationary environments -- Kalman filters -- Square-root adaptive filtering algorithms -- Order-recursive adaptive filtering algorithm -- Blind deconvention -- Epilogue -- Appendix A: Theory of complex variables -- Appendix B: Wirtinger calculus for computing complex gradients -- Appendix C: Method of Lagrange multipliers -- Appendix D: Estimation theory -- Appendix E: Eigenanalysis -- Appendix F: Langevin equation of nonequilibrium thermodynamics -- Appendix G: Rotations and reflections -- Appendix H: Complex Wishart distribution
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621.3815824 H.S.A 2014 (Browse shelf) Available 21822

Preface -- Acknowledgments -- Background and preview -- Stochastic processes and models -- Wiener filters -- Linear prediction -- Method of steepest descent -- Method of stochastic gradient descent -- The least-mean-square (LMS) algorithm -- Normalized least-mean-square (LMS) algorithm and its generalization -- Block-adaptive filters -- Method of least-squares -- The recursive least-square (RLS) algorithm -- Robustness -- Finite-precision effects -- Adaptation in nonstationary environments -- Kalman filters -- Square-root adaptive filtering algorithms -- Order-recursive adaptive filtering algorithm -- Blind deconvention -- Epilogue -- Appendix A: Theory of complex variables -- Appendix B: Wirtinger calculus for computing complex gradients -- Appendix C: Method of Lagrange multipliers -- Appendix D: Estimation theory -- Appendix E: Eigenanalysis -- Appendix F: Langevin equation of nonequilibrium thermodynamics -- Appendix G: Rotations and reflections -- Appendix H: Complex Wishart distribution

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