## Adaptive system identification and signal processing algorithms |

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### Contents

Basic Concepts and Algorithmic Schemes | 7 |

Adaptation and Tracking | 58 |

The Least Mean Square Family | 84 |

Copyright | |

11 other sections not shown

### Common terms and phrases

Acoust adaptive algorithms adaptive filtering analysis approximation array assume autocorrelation backward prediction errors behaviour channel Chapter complex computed convergence covariance matrix data vector defined denoted derived discussed echo canceller eigenvalue equal equations estimation error exponential fast feedback Figure forward and backward forward prediction frequency FTRLS Gaussian Givens rotations gradient IEEE IEEE Trans implementation initial input interference Kalman filter lattice algorithm least-squares linear prediction LMS algorithm LS errors LS estimation LS lattice minimization MMSE MMSE estimation modem mth-order multichannel neural networks noise non-linear numerical stability obtain operations optimal order recursive orthogonal output parameter estimates passband performance predictor prewindowed Proc processor QRD-based quantities received signal reflection coefficients residual samples scalar sequence shown Signal Process solution spectral Speech spread-spectrum stochastic structure system identification systolic array Table technique telephone theorem time-varying tracking triangular update variables vector weight Wiener filter wordlength zero