## Adaptive Filtering: Algorithms and Practical ImplementationAdaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; |

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### Contents

INTRODUCTION TO ADAPTIVE FILTERING | 1 |

FUNDAMENTALS OF ADAPTIVE FILTERING | 15 |

THE LEASTMEANSQUARE LMS ALGORITHM | 79 |

LMSBASED ALGORITHMS | 139 |

CONVENTIONAL RLS ADAPTIVE FILTER | 195 |

ADAPTIVE LATTICEBASED RLS ALGORITHMS | 235 |

FAST TRANSVERSAL RLS ALGORITHMS | 287 |

QRDECOMPOSITIONBASED RLS FILTERS | 309 |

ADAPTIVE IIR FILTERS | 361 |

NONLINEAR ADAPTIVE FILTERING | 423 |

SUBBAND ADAPTIVE FILTERS | 469 |