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Title: Algorithms for Statistical Signal Processing by John G. Proakis, Charles M. Rader, Fuyun Ling, Marc Moonen, Ian K. Proudler, Chrysostomos L. Nikias ISBN: 0-13-062219-2 Publisher: Prentice Hall Pub. Date: 15 January, 2002 Format: Hardcover Volumes: 1 List Price(USD): $116.00 |
Average Customer Rating: 4.5 (2 reviews)
Rating: 5
Summary: An Excellent book in Advance DSP
Comment: This book is a must for any one who wants to read about Advance topics in DSP. Very informative book. It is a book of Proakis.
Rating: 4
Summary: Excellent content, average presentation
Comment: The high point of this book is an extensive collection of algorithms and an excellent set of references for further research. Each topic is dealt with in an orderly fashion so that the simple (and usually chronologically earlier) proposals in an area appear first, followed by more complex efficient algorithms.
I have been through the first six (of the total nine) chapters in good detail. The chapters on FFT (1 and 2) and Linear prediction (chapter 3) are well done and serve as an excellent platform to get into the subject. The material is easily implemented in MATLAB using the description in the chapters.
Chapter 4 presents a detailed introduction to least-squares algorithms with a pretty good theoretical treatment. The material presented motivates the merits of least-squares approaches and lays out the various numerical approaches to solving such problems in practice. Chapter 5 and 6 follow up on this introduction to present the specific algorithms for Recursive Least-squares, Lattice-ladder algorithms, stabilized fast RLS etc.
The book gets only 4-stars because of problems with presentation. In the chapters 4,5,6 there is an inconsistency in the symbols used. The symbols used are also not readily related to the quantities they are supposed to represent. Instead of repeating a simple equation, the book often refers to equation numbers in some other part of the chapter or sometimes in other chapters. In some sections algorithms and alternative strategies just appear one after another without a good "big-picture". A flow-chart or some kind of a schematic to help classify the various techniques would enhance the utility of this book manifold (e.g., see "Fundamentals of Statistical Signal Processing" by Steven M. Kay).
Overall, I recommend this book as a very useful starting point for anyone (with a basic DSP background) interested in implementing statistical signal processing algorithms. It is also an excellent survey of existing literature.
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Title: Digital Communications by John G. Proakis ISBN: 0072321113 Publisher: McGraw-Hill Science/Engineering/Math Pub. Date: 15 August, 2000 List Price(USD): $144.15 |
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Title: Mathematical Methods and Algorithms for Signal Processing by Todd K. Moon, Wynn C. Stirling ISBN: 0201361868 Publisher: Prentice Hall Pub. Date: 04 August, 1999 List Price(USD): $116.00 |
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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 |
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Title: Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory by Steven M. Kay ISBN: 0133457117 Publisher: Prentice Hall PTR Pub. Date: 26 March, 1993 List Price(USD): $99.00 |
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Title: Distortion in Rf Power Amplifiers (Artech House Microwave Library) by Joel Vuolevi, Timo Rahkonen ISBN: 1580535399 Publisher: Artech House Pub. Date: February, 2003 List Price(USD): $89.00 |
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