• Adaptive Filtering Primer with MATLAB (Electrical Engineering Primer Series) | | | |
• Pattern Classification (2nd Edition) | | | |
• Adaptive Filters | | | |
• Multirate Systems And Filter Banks | | | |
• Adaptive Filtering: Algorithms and Practical Implementation | | | |

arrived late
Review written by: Paras2 From Brighton, MA
it was the first time that an amazon product took more than two weeks to arrive. I had to borrow my friends' books to solve my homeworks! but as promised, it was new :)

Is something wrong?
Review written by: tamgo64 From Germany
I ordered this book twice from Amazon (new and used)! I did not received this book yet?
Why?
Maybe is something wrong written in this book!

Please, pay attention:

Product Description
Represents the most comprehensive treatment available of neural networks from an engineering perspective. Examines all the important aspects of this emerging technology. DLC: Adaptive filters.
--This text refers to an out of print or unavailable edition of this title.

A Recipe Book
Review written by: Canaima From
The book is sound, but I have to agree with others here. Formulas, procedures are presented without an intuitive sense of why things turn out the way they are, or even from the beginning of derivations. Good to implement mechanically all those algorithms without proper understanding.

As it is usually the case, in this very important subject, one has to learn from many sources.

It's exactly what the title states, "Adaptive Filter THEORY"
Review written by: Brad Stallone From Baton Rouge, LA, United States
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 of stationary processes and properties, was written much better than most random process textbooks (I applaud Haykin for this given the section was only a review). In chapter 3 or 4, he shows the derivation of the Levison-Durbin Algorithm step-by-step. I strongly disagree with some of the other reviews stating this text is just the typical engineering manual or cookbook with no explainations.

However, this is either a love or hate text. If you are looking for a text about practical linear predictive filter design, this is NOT the book for you. This text is heavily geared towards understanding the theory behind the design... hence the title Adaptive Filter THEORY. However, it can make a great reference to engineers in the field of DSP.

Not a bad reference book.
Review written by: Farzad Etemadi From Aliso Viejo, Ca USA
This book looks very impressive, but if you try to understand it you'll find it very mechanical. There is not much motivation behind the many pages of formulas and derivations. I'm not even sure how many people actually read those derivations becuase even in its 4th edition the book and its solution manual both have many typos (see, for example, equations 8.11 and 12.5). Even the problems are more focused on derivations than on numerical examples. This is a good cookbook if you just want to implement an algorithm or find some pointers to the original research papers. Like many other reviewers, I beleive that engineering textbooks are losing their depth and becoming more and more like instruction manuals.