Statistical Digital Signal Processing and Modeling

The book is beautiful, really neat. It contains all the essential topics that you will expect in a Spectral Analysis book. I stumbled across it in library and was impressed with the treatment that the author gave this subject. I now have a copy of my own. The topics range from basic to advanced including a few topics on adaptive filter theory.Each treatment is almost immediately followed by an example, simple but powerful way to introduce you to this topic. I found this one feauture made the topics covered really enjoyable. Linear algebra review captures the essence of the style of this book. It is a welcome addition to this area in DSP. The one by Stocia is too mathematical to be called an introductory book. This one is way much above Stocia's mathematical nightmare.

A very clear textbook. Easy to understand. Nice examples. You can just read it and learn the concept. I recommend to every DSP practitioners.

Excellent introduction to advance signal processing

I took a Statistical DSP class with Dr Hayes at Georgia Tech. The treatment of the Kalman Filter in the book is very nice. The derivation is probably the best and clearest of all the books I've seen. While taking the class, I was surprised by the simplicity and elegance of the derivations. Also, the examples are very helpful. Great book! Must have if you're in signal processing or controls.

This is one book that literally changed the way I viewed and learned DSP. Monson Hayes is clearly a very smart guy, and the book is excellent.Pros:1. Very very very clear in mathematical presentation and style, without compromising on rigor.2. Numerous examples, immediately after a topic really helps in appreciating the concepts.3. Extremely self contained book.4. Advanced topics easily explained.5 Code is extremely useful.Cons:1. Selected solutions or all solutions to problems at the back of the each chapters not given. This would be great.2. Implementation of these digital systems (adaptive filters, optimum filters etc) require some knowledge of numerical linear algebra for stability. While this is outside the scope of the book, a few examples could have been provided (like the RLS square root algorithm, which would be within the concepts covered in the book).All said and done, I use book everyday, right from refershing basic concepts, passing the qualifying exam here at Georgia Tech to implementing and playing with code. A must buy IMO for any DSP person....

This book has great material on least squares filtering and spectral estimation techniques. And with Hayes providing the Matlab code to implement the formulas, it is a great help to the student in being able to run the code and see what the outputs should look like. The book reads well and is very easy to use. But it is not a substitute for an intro DSP book like Oppenheim/Schafer or Proakis.Update - I have changed my score from 4 to 5. The longer I have been working to more I find I use this book and the examples in it to do things. I think this is a really useful book for a practicing engineer.

After purchasing and reading this book, with regard tothe material, quality and level of intelligence neededto understand what Hayes is talking about, I give thebook a thumbs up; definitely right on target with thesubject material; however, this book provides nosolutions to any of the numerous selected problems atthe end of each chapter. Usually, the author putsthe answers to odds, evens or selected problems inthe back of the book, this book provides absolutelynone. I believe this is important for students whoare at the Graduate level who are trying to buildconfidence. If your target is professionals or professorswho have already been using Statistics in SignalProcessing that's great; however, if I were an instructorwho is concerned about the understanding that mystudents get from the course I am teaching, I wouldnot recommend this bood based on the fact that ithas no solutions on which you can build that confidence. Most students only receive about 10% credit forthe homework problems that are assigned in class, sothere is really no reason not to have any solutionssince the instructor is free to assign problems withsolutions and problems without solutions as thecourse proceeds. This also provides an unfair advantage for somestudents who are able to obtain a copy of the solutionsmanual from some source outside the editor or university,so you create an environment where some students havethe confidence and others, who could not get solutions,do not. One other problem I've noticed after reading thisbook, is that the author makes allot of leaps and boundsin many of his derivations. I've noticed that theskipped portions in these derivations seem to pop uplater in important material throughout the book, soif you do not understand a concept early on, you haveno choice but to research or dig in other books togain a thourough understanding. For this type ofmaterial, if you want a good REFERENCE manual, Iwould like to suggest NOT SKIPPING ANYTHING inyour derivations....but I know you will anyway, out ofspite.....and also, ALWAYS PROVIDE SOLUTIONS....theyare invaluable in practice as well as in class becausethey provide the gateway for understanding andreview of the material. In my opinion, a book without these simpleprovisions is not worth the time and money as areference....

Really don't understand why this is getting such positive reviews. Found it a very frustrating text to use as there are large jumps in the material leaving much unexplained. Many of the problems I have encountered are assuming knowledge that is not covered at all in the chapter.

This is a very well written book on SDSP. In my opinion as instructor, it is great for undergraduate, graduate students as well as practicing engineers.

This one is a very good book for the beginners. Each chapter is written in a very easy way to understand. The problems are also very good and they help in understanding the concepts clearly. I particularly liked the way of linking the methods(Pade,Prony,Shanks) . Also the review of Linear Algebra and Probability is provided.And if you are really interested in Signal Processing go for it.......Note:This is not a book for UG...Its for PG and above.

its a book. no need to write a review. Anna university students buying this book is worth.

A reference Book - unfortunately not available in an electronic formatNot a "basic" book. Suited for an Advanced Level Signal Processing course

The book met the minimum expectations in terms of print quality and paper quality. Keep the good work and all the best.Thanks, Xavier