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Title: Adaptive Filter Theory (3rd Edition) by Simon S. Haykin ISBN: 0-13-322760-X Publisher: Prentice Hall Pub. Date: 27 December, 1995 Format: Hardcover Volumes: 1 List Price(USD): $107.00 |
Average Customer Rating: 4.2 (5 reviews)
Rating: 5
Summary: A very good book for Adaptive DSP...
Comment: I have always wondered why many people have negative opinions about books by Simon Haykin, whether it is 'Communication Systems' or 'Adaptive Filter Theory'. Particularly, this book 'Adaptive Filter Theory', in my opinion, is one of the bestbooks on this subject. As Julius Kusuma correctly mentioned, this book is indeed an "adventure ride" into the field of Adaptive Filter Theory.
I discovered this book when I was doing a class project on Self-Orthogonalizing algorithms for Adaptive Beamforming and I felt that all the relevant information that I needed was present in this book. I did'nt really feel the neccesity to refer anything outside this book.
Apart from that, this book contains everything that a graduate student needs to know about this exciting field of adaptive filters. The author assumes some background on Random Signal Theory... I'd suggest to look up Sam Shanmugan et al's, "Random Signals: Detection, Estimation and Data Analysis" before beginning to read (enjoy) this "adventure ride" on Adaptive Filters.
Rating: 5
Summary: Adventures in the development of stochastic DSP
Comment: 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 difficult to use as reference due to its lack of structure and over-dependency on the previous chapters, both for technical content and notation.
But there's a lot of hidden treasures within this book that should have been more emphasized. For example, Mold's theorem that states that any discrete stationary process can be decomposed into a deterministic component and a random component, which are uncorrelated to each other. I'm sorry, but a reference to a proof in another book is not enough to really motivate me. This is a very fundamental theorem if you're interested in stochastic signal processing. Sure, you don't cover the Fundamental Theorem of Calculus in your very first calculus class, but then again this is supposed to be a fairly advanced book.
So if you're interested in learning certain things quickly, this is NOT the book to get. Consider Munson Hayes' book instead. Save this one when you feel like investing a little time to hear Haykin's story on stochastic signal processing.
Rating: 3
Summary: Good book if you are an expert!
Comment: Before start reading this book, read "Uderstanding Digital Signal Processing" by Lyons first.
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Title: Adaptive Signal Processing by Bernard Widrow, Samuel Stearns ISBN: 0130040290 Publisher: Prentice Hall Pub. Date: 15 March, 1985 List Price(USD): $116.00 |
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Title: Digital Communications by John G. Proakis ISBN: 0072321113 Publisher: McGraw-Hill Science/Engineering/Math Pub. Date: 15 August, 2000 List Price(USD): $144.15 |
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Title: Fundamentals of Adaptive Filtering by Ali H. Sayed ISBN: 0471461261 Publisher: Wiley-IEEE Computer Society Pr Pub. Date: 06 June, 2003 List Price(USD): $125.00 |
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Title: Communication Systems Engineering (2nd Edition) by John G. Proakis, Masoud Salehi ISBN: 0130617938 Publisher: Prentice Hall Pub. Date: 21 August, 2001 List Price(USD): $116.00 |
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Title: Statistical Digital Signal Processing and Modeling by Monson H. Hayes ISBN: 0471594318 Publisher: Wiley Text Books Pub. Date: March, 1996 List Price(USD): $113.95 |
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