Adaptive Filtering: Algorithms and Practical ImplementationSpringer Science & Business Media, 14 Mar 2013 - 568 sayfa Adaptive 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; Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems. |
İçindekiler
1 | |
FUNDAMENTALS OF ADAPTIVE | 15 |
3 | 27 |
ADAPTIVE IIR FILTERS 361 | 39 |
6 | 47 |
THE LEASTMEANSQUARE LMS | 81 |
LMSBASED ALGORITHMS | 139 |
7 | 174 |
4 | 218 |
ALGORITHMS | 234 |
FAST TRANSVERSAL RLS ALGORITHMS | 287 |
QRDECOMPOSITIONBASED | 309 |
NONLINEAR ADAPTIVE FILTERING | 423 |
SUBBAND ADAPTIVE FILTERS | 467 |
A QUANTIZATION EFFECTS IN THE | 527 |
559 | |
Diğer baskılar - Tümünü görüntüle
Adaptive Filtering: Algorithms and Practical Implementation Paulo Sergio Ramirez Diniz Sınırlı önizleme - 2002 |
Sık kullanılan terimler ve kelime öbekleri
Acoust adaptive filter coefficients adaptive filtering algorithms adaptive IIR filters additional noise analysis applied Aw(k calculated channel coefficient vector computational complexity conventional RLS algorithm convergence factor derive desired signal digital filter Digital Signal Processing eigenvalue spread elements equalizer error signal estimate example excess MSE expected value fast transversal filter bank finite-precision FIR filter fixed-point arithmetic forward prediction FTRLS Gaussian white noise given IEEE IEEE Trans implementation impulse response input signal vector learning curves least-squares linear measurement noise minimization misadjustment MSE Log scale MSE surface noise with variance normalized LMS algorithm Number of iterations nw(k objective function obtained output error output signal parameters posteriori posteriori error problem QR decomposition QR-RLS algorithm quantization quantization error recursive rithm samples Sbmin sign-error algorithm Signal Processing simulation squared error system identification systolic array transfer function transform unknown system updating equation Volterra series wordlength zero