Adaptive Filter Theory (4th Edition)
Author | : | |
Rating | : | 4.40 (906 Votes) |
Asin | : | 0130901261 |
Format Type | : | paperback |
Number of Pages | : | 936 Pages |
Publish Date | : | 2016-02-19 |
Language | : | English |
DESCRIPTION:
The Third Edition of this highly successful book has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. . From the Publisher Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks
. Simon Haykin received his B.Sc. (First-class Honours), Ph.D., and D.Sc., all in Electrical Engineering from the University of Birmingham, England. He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the Henry Booker Gold Medal from URSI, 2002, the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich, Switzerland, 1999, and many other medals and prizes.He is a pioneer in adaptive signal-
In its fourth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.. Adaptive Filter Theory, 4e, is ideal for courses in Adaptive Filters.Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons
Adventures in the development of stochastic DSP Despite the commonly negative opinion against Simon Haykin's book, I find this book to be a very fun reading. It starts off with a very brief review of DSP (more useful just for getting familiar with the notation, really), properties of random processes, and a small section on linear algebra in the middle of the book.The rest of the book can be viewed as a story of how different approaches and algorithms were developed, and is a little di. Brad Stallone said It's exactly what the title states, "Adaptive Filter THEORY". I was introduced to this text in a graduate course. I was not too thrilled about learning from another Haykin book due to a previous experience with his Communication Systems text in an undergraduate course (Horribly confusing Proakis's text is infinitely better). To my surprise, the book was very detailed and easy to read. The math is very clear and detailed (great for the self learner). Also, the second chapter, which serves as a review. "Adventures in the development of stochastic DSP" according to Julius Kusuma. Despite the commonly negative opinion against Simon Haykin's book, I find this book to be a very fun reading. It starts off with a very brief review of DSP (more useful just for getting familiar with the notation, really), properties of random processes, and a small section on linear algebra in the middle of the book.The rest of the book can be viewed as a story of how different approaches and algorithms were developed, and is a little di