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Principles of Adaptive Filters (5th Edition) [Copy link]

 
 

This book is the 5th edition of "Principles of Adaptive Filters" written by Simon Haykin.

This book is a classic textbook in the field of adaptive signal processing. The book has 17 chapters in total, which systematically, comprehensively and in-depth explain the basic theories and methods of adaptive signal processing, and fully reflect the new theories, new technologies and new applications in this field in recent years.
The content includes: random processes and models, Wiener filters, linear prediction, steepest descent method, stochastic gradient descent method, least mean square (LMS) algorithm, normalized LMS adaptive algorithm and its generalization, block adaptive filter, least squares method, recursive least squares (RLS) algorithm, robustness, finite word length effect, adaptation in non-equilibrium environment, Kalman filter, square root adaptive filtering algorithm, order recursive adaptive filtering algorithm, blind deconvolution, and their applications in communication and information systems.

Download: https://download.eeworld.com.cn/detail/%E5%B0%8F%E9%9B%A8%E7%82%B9f/600425

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Thanks for sharing, like   Details Published on 2024-8-15 16:29
 
 

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Just needed, thanks for sharing
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Very good information, thank you for sharing

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Very good information, thank you for sharing

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A rare classic textbook, worth a good look and study
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Thanks for sharing~~~
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Very good information, thank you for sharing

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Adaptive Signal Processing:

The basic theories and methods of adaptive signal processing are explained in a systematic, comprehensive and easy-to-understand way.

It fully reflects the new theories, new technologies and new applications in this field in recent years.

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I found the recommended textbook, thank you!

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Thanks for sharing, like

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