AnyBook4Less.com	Find the Best Price on the Web Order from a Major Online Bookstore
Home  |  Store List  |  FAQ  |  Contact Us  |
Ultimate Book Price Comparison Engine Save Your Time And Money Keyword AuthorISBN

Title: Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing by Dimitris G. Manolakis, Vinay K. Ingle, S. Kogan, Stephen M. Kogan ISBN: 0-07-040051-2 Publisher: McGraw-Hill Science/Engineering/Math Pub. Date: 20 December, 1999 Format: Hardcover Volumes: 1 List Price(USD): $150.20

Your Country USA Canada United Kingdom Australia Austria Belgium France Germany Italy Netherlands Switzerland Currency AutoUSD CAD GBP EUR AUD CHF Delivery Only cheapest delivery All delivery options Include Used Books Are you a club member of: Barnes and Noble Books A Million Chapters.Indigo.ca

Average Customer Rating: 3.33 (6 reviews)

Rating: 2
Summary: Broad coverage but not focuss.
Comment: I buy this book about 3 years ago (2000).
My aim was to get a better understanding on statistical dsp.
I got the lecture on advanced dsp on my master degree. I must confess that for me this is not an easy subject to master. Therefore a clear and well explained book on this subject is a very important for me.
But I was dissapointed when I got this book!
Yes, it is broad of coverage, but the content is not focuss.
The connection between previous and next parts of discussion and chapters mostly does not show a clear link.
Yes, it is full of facts, but I need more than bulk of facts: THE WAY OF THINKING, why we do and why we don't do.
It didn't help me to master the subject.
For the reader who want an easy to read and clear in explaination as well as good reasoning and examples, I would suggest to go for another book such as Steven M Kay (Volume 1, Estimation Theory). For me this is a lot better investment of time and money!.
Thank you for reading my review.

Rating: 3
Summary: where is the errata for this book?
Comment: I am trying to study from this book and, because there are some mistakes, I am interested where I could find the errata. I tried at McGraw-Hill without success. Any idea?

Thank you.

Rating: 4
Summary: A good read, especially for an advanced course on DSP
Comment: This book gives a brief overview of fundamentals of Digital Signal Processing and Stochastic methods, before graduating to the core topics, namely Signal Modeling and Parameter EstimationNon-parametric estimation, Optimal filter design and structurs, RLS, LMS and Adaptive Filters.

Though high on content, the topical organization of the book leaves a lot of room for improvement. A logical sequence of topics to be studied by an advanced level DSP student is recommended as follows - 5. Linear Signal Models, 9. Signal Modeling and Parametric Spectral Estimation, 6. Optimum Linear Filters, 7. Algorithms and Structures for Optimum Linear Filters, 10. Adaptive Filters, 8. Least Squares Filtering and Prediction, 11. Array Processing. You may have to keep skipping advanced topics towards the end of a chapter, only to come back later after having gone through related background material in other chapters. In this respect, this volume is indeed inconvenient.

However, the authors have more than made up for all its faults with the depth of content, and also the breadth. Assuming that this book is meant for an advanced reader, it is very much self contained, from the ground up, barring a few minor low-level details, which the authors have assumed prior knowledge of.

Chapters 11 and 12 essentially deal with very specialized applications for Radar Engineers and people dealing with esoteric math involving Signal Processing techniques - the case in point are the topics on Blind Deconvolution and Unsupervised Adaptive Filtering.

The authors have also provided some rudimentary background information on Holor algebra (matrix and vector algebra esp.)

I would recommend the reader to keep a more basic text on Mathematical methods for Signal Processing as a cross reference while using this book. A case in point is Mathematical Methods and Algorithms for Signal Processing, by Todd K. Moon and Wynn C. Sterling.

Similar Books:

	Title: Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory by Steven M. Kay ISBN: 013504135X Publisher: Prentice Hall PTR Pub. Date: 27 January, 1998 List Price(USD): $99.00
	Title: Digital Signal Processing: A Computer-Based Approach, 2e with DSP Laboratory using MATLAB by Sanjit K Mitra ISBN: 0072513780 Publisher: McGraw-Hill Science/Engineering/Math Pub. Date: 16 July, 2001 List Price(USD): $160.50
	Title: Error-Correcting Codes - Revised, 2nd Edition by William Wesley Peterson ISBN: 0262160390 Publisher: MIT Press Pub. Date: 15 March, 1972 List Price(USD): $90.00
	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
	Title: Mathematical Theory of Communication by Claude E. Shannon, Warren Weaver ISBN: 0252725484 Publisher: University of Illinois Press Pub. Date: 01 October, 1963 List Price(USD): $15.95