Adaptive Filtering: Algorithms and Practical ImplementationSpringer Science & Business Media, 2002 - 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; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. 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
INTRODUCTION TO ADAPTIVE FILTERING | 3 |
FUNDAMENTALS OF ADAPTIVE FILTERING | 17 |
THE LEASTMEANSQUARE LMS ALGORITHM | 81 |
LMSBASED ALGORITHMS | 141 |
CONVENTIONAL RLS ADAPTIVE FILTER | 197 |
ADAPTIVE LATTICEBASED RLS ALGORITHMS | 237 |
FAST TRANSVERSAL RLS ALGORITHMS | 289 |
QRDECOMPOSITIONBASED RLS FILTERS | 311 |
ADAPTIVE IIR FILTERS | 363 |
NONLINEAR ADAPTIVE FILTERING | 425 |
SUBBAND ADAPTIVE FILTERS | 469 |
Diğer baskılar - Tümünü görüntüle
Sık kullanılan terimler ve kelime öbekleri
Acoust adaptive algorithms adaptive filter adaptive filter coefficients adaptive filtering algorithms adaptive IIR filter additional noise applied Aw(k behavior calculated coefficient vector computational complexity conventional RLS algorithm convergence factor correlation matrix derive desired signal digital filter Digital Signal Processing eigenvalue eigenvalue spread elements equalizer error signal estimate excess MSE filter bank finite-precision fixed-point arithmetic forward prediction fractional delays FTRLS Gaussian white noise given IEEE IEEE Trans IIR filter implementation impulse response input signal vector learning curves least-squares linear measurement noise minimization misadjustment MSE Log scale MSE surface noise with variance nonlinear normalized LMS algorithm Number of iterations nw(k objective function obtained optimal output error output signal parameters problem QR decomposition QR-RLS algorithm radial basis function recursive samples Sbmin solution Square error structure subband adaptive filtering system identification systolic array transfer function unknown system updating equation Volterra Volterra series wordlength zero