Adaptive Filtering and Change DetectionWiley, 3 de out. de 2000 - 500 páginas Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources
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Conteúdo
Applications | 36 |
Online approaches | 58 |
Offline approaches | 89 |
Direitos autorais | |
19 outras seções não mostradas
Termos e frases comuns
adaptive filter algorithm applications approach arg max arg min assumed asymptotic Blind equalization bootstrap change detection change points channel computed Consider convergence covariance matrix CUSUM test DC motor defined denotes derivation design parameters detector distribution dynamics equation example factor fault detection Gaussian Gibbs sampling given gives GLR test input iteration jump Kalman filter least squares likelihood ratio linear regression loss function MAP estimate MCMC mean measurement noise measurement update minimization model structure Monte Carlo simulations noise variance null space off-line optimal output parameter estimate parameter vector point estimate posteriori probabilities prediction errors prior problem recursive samples scalar Section segmentation sensor sequence signal model sliding window space model stochastic Structured residuals target tracking test statistic Theorem threshold time-varying unknown variable velocity Viterbi algorithm whiteness test Wiener filter Xt+1 zero
Referências a este livro
The Variational Bayes Method in Signal Processing Václav Šmídl,Anthony Quinn Prévia não disponível - 2006 |
Fault Detection, Supervision and Safety of Technical Processes ..., Volume 1 Marcel Staroswiecki,Eva Wu Visualização parcial - 2004 |