Statistical Digital Signal Processing and Modeling 1st Edition by Monson H. Hayes (PDF)

Description

This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectrum estimation, and adaptive filtering.Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems. The text reflects the author’s philosophy that a deep understanding of signal processing is accomplished best through working problems. For this reason, the book is loaded with worked examples, homework problems, and MATLAB computer exercises. While the examples serve to illustrate the ideas developed in the book, the problems seek to motivate and challenge the student and the computer exercises allow the student to experiment with signal processing algorithms on complex signals. Professor Hayes is recognized as a leader in the signal processing community, particularly for his work in signal reconstruction and image processing. This text is suitable for senior/graduate level courses in advanced DSP or digital filtering found in Electrical Engineering Departments. Prerequisites include basic courses in DSP and probability theory.

User’s Reviews

Editorial Reviews: Review Laboratory Manual available. — The publisher, John Wiley & Sons From the Publisher The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter. About the Author Monson H. Hayes is the author of Statistical Digital Signal Processing and Modeling, published by Wiley. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐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.

⭐Excellent introduction to advance signal processing

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

⭐I used this book to learn nearly all the topics covered in a hurry, in order to take the prelim exam at Berkeley. While it was a humbling experience, it made me truly learn to appreciate and love this book, and its great presentation and organization.It starts off with a very good introduction to linear algebra and probability theory for engineers, which should give you a taste of the effective way that this book is laid out. The format is excellent, and the important points clearly highlighted. This is a real joy to read!The magic doesn’t wear off into the later chapters, which include topics in signal modeling, least-squares methods, MMSE estimation, Levinson algorithm, spectral estimation, and adaptive filters.I find this book to be a great source for both learning and reference, and as a bonus it includes Matlab codes for all the algorithms mentioned here.One complain is that there are certain topics that could be covered more effectively. For example, the relationship between the different signal models and filtering is not mentioned, and this could help understand the motivation of the different signal models in the first place.Anyway, once you get past Oppenheim/Schafer, Proakis/Manolakis and Lyons’ material this can be a great way to start your journey into the more advanced topics in signal processing.

⭐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.

⭐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

⭐It gives you an introduction to the area of Stat. DSP in a way that you will enjoy and the content is rich and rigorous that will not leave any area untouched

Keywords

Free Download Statistical Digital Signal Processing and Modeling 1st Edition in PDF format
Statistical Digital Signal Processing and Modeling 1st Edition PDF Free Download
Download Statistical Digital Signal Processing and Modeling 1st Edition 1996 PDF Free
Statistical Digital Signal Processing and Modeling 1st Edition 1996 PDF Free Download
Download Statistical Digital Signal Processing and Modeling 1st Edition PDF
Free Download Ebook Statistical Digital Signal Processing and Modeling 1st Edition