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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Bibliographic Details
Main Authors: Gustafsson, Fredrik
Published:
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.