Title
Adaptive Filtering: Algorithms And Practical Implementation,Used
Delivery time: 8-12 business days (International)
In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using clear notations that facilitate actual implementation.The main algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes: Analytical and simulation examples in Chapters 4, 5, 6 and 10Appendix E, which summarizes the analysis of setmembership algorithmUpdated problems and referencesProviding a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and dataselective setmembership algorithms as well as nonlinear, subband, blind, IIR adaptive filtering, and more.Several problems are included at the end of chapters, and some of these problems address applications. A userfriendly MATLAB package is provided where the reader can easily solve new problems and test algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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