Adaptive filtering and change detection
Adaptive filtering is a classical branch of digital signal processing (DSP). Industrial interest in adaptive filtering grows continuously with the increase in computer performance that allows ever more conplex algorithms to be run in real-time. Change detection is a type of adaptive filtering for no...
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Main Authors: | |
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley InterScience electronic collection |
Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0470841613 |
Summary: |
Adaptive filtering is a classical branch of digital signal processing (DSP). Industrial interest in adaptive filtering grows continuously with the increase in computer performance that allows ever more conplex algorithms to be run in real-time. Change detection is a type of adaptive filtering for non-stationary signals and is also the basic tool in fault detection and diagnosis. Often considered as separate subjects Adaptive Filtering and Change Detection bridges a gap in the literature with a unified treatment of these areas, emphasizing that change detection is a natural extension of adapt |
Carrier Form: | 1 online resource (x, 500 pages) : illustrations : digital, HTML and PDF files |
Bibliography: | Includes bibliographical references (pages 477-492) and index. |
ISBN: |
9781601195463 160119546X 0470841613 9780470841617 1280555041 9781280555046 |
Index Number: | TK7872 |
CLC: | TN713 |
Contents: |
Extended summary -- Applications -- On-line approaches -- Off-line approaches -- Adaptive filtering -- Change detection based on sliding windows -- Change detection based on filter banks -- Kalman filtering -- Change detection based on likelihood ratios -- Change detection based on multiple models -- Change detection based on algebraical consistency tests -- Evaluation theory -- Linear estimation -- Signal models and notation -- Fault detection terminology. |