Adaptive Filtering and Change DetectionWiley, 3 de out. de 2000 - 510 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 alarm algorithm alternative applications approach approximation assumed Basics called change detection channel Chapter compared computed conditional Consider constant corresponds covariance matrix defined denotes derivation described design parameters distribution disturbance dynamics equalization equation error estimate example expressions factor fault Figure function Gaussian given gives idea illustrated implementation included increased input instance interpreted jump Kalman filter known least squares length likelihood linear marginalization mean measurement methods minimization Monte Carlo needed noise Note observer optimal output parameter performance plot position possible prediction prior probability problem ratio recursive regression residuals respectively result samples scaling segmentation sensor sequence shown shows signal simulation sliding window space model standard step structure term test statistic Theorem threshold tracking true unknown update variable variance vector
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 |