Adaptive filters : theory and applications
著者
書誌事項
Adaptive filters : theory and applications
Wiley, c1998
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注記
Includes bibliographical references (p. [503]-515) and index
内容説明・目次
内容説明
Adaptive filtering is an advanced and growing field in signal processing. This text combines a valuable student resource with a useful technical reference for signal processing engineers. It offers theoretical coverage complemented by many application examples. The accompanying diskette contains MATLAB simulation programs for in-depth insight into adaptive filtering concepts. The text begins with a general overview of adaptive filters and popular applications. Subsequent chapters range from discrete-time signals and systems, to Wiener filters and recursive least-square algorithms. Also included is a section on eigenanalysis which looks at the mathematics required for the study of filters.
目次
- Discrete-time signals and systems
- Wiener filters
- eigenanalysis and performance surface
- search methods
- LMS algorithm
- transform domain adaptive filters
- block implementation of adaptive filters
- subband adaptive filters
- IIR adaptive filters
- lattice filters
- method of least-squares
- tracking.
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