![]() ![]() 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.ĭespite the commonly negative opinion against Simon Haykin's book, I find this book to be a very fun reading. The author assumes some background on Random Signal Theory. Apart from that, this book contains everything that a graduate student needs to know about this exciting field of adaptive filters. I did'nt really feel the neccesity to refer anything outside this book. 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. Particularly, this book 'Adaptive Filter Theory', in my opinion, is one of the bestbooks on this subject. I have always wondered why many people have negative opinions about books by Simon Haykin, whether it is 'Communication Systems' or 'Adaptive Filter Theory'. However, it can make a great reference to engineers in the field of DSP. This text is heavily geared towards understanding the theory behind the design. If you are looking for a text about practical linear predictive filter design, this is NOT the book for you. However, this is either a love or hate text. I strongly disagree with some of the other reviews stating this text is just the typical engineering manual or cookbook with no explainations. ![]() In chapter 3 or 4, he shows the derivation of the Levison-Durbin Algorithm step-by-step. 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). The math is very clear and detailed (great for the self learner). To my surprise, the book was very detailed and easy to read. 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. I was introduced to this text in a graduate course. ![]()
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