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Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap-weight adaptation, delayless architectures,.

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Language: Anglais. The authors also provide MATLAB-based examples, applications and exercises to demonstrate the basic principles underlying subband adaptive filter production for beginners and people unused to working with subband adaptive filters.

The comprehensive coverage of recent developments such as multi-width tap-weight adaptation, delayless architectures and filterbank design for band-edge effects enables advanced readers to keep up-to-date with the industry. A timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications.