Books

Algorithms for Statistical Signal Processing

Average customer rating:

An Excellent book in Advance DSP
Excellent content, average presentation

Algorithms for Statistical Signal Processing
John G. Proakis , Charles M. Rader , Fuyun Ling , Marc Moonen , Ian K. Proudler , and Chrysostomos L. Nikias
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover

General | Science | Subjects | Books

General | Computers & Internet | Subjects | Books

General | Software | Computers & Internet | Subjects | Books

General | Arts & Photography | Subjects | Books

Look Inside Art Books | Trip | Specialty Stores | Books

Look Inside Computer Books | Trip | Specialty Stores | Books

Qualifying Textbooks - Spring 2007 | Stores | Books

General | Software Books | Custom Stores | Stores | Software
Similar Items:

Digital Communications
Digital Signal Processing (4th Edition)
Statistical Digital Signal Processing and Modeling
Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory
Intuitive Probability and Random Processes using MATLAB

ASIN: 0130622192

Book Description

Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on advanced topics ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.

Customer Reviews:

An Excellent book in Advance DSP.......2002-12-23

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.

Excellent content, average presentation.......2002-12-11

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.

Adaptive Filtering: Algorithms and Practical Implementation, (The Springer International Series in Engineering and Computer Science)

Average customer rating:

An excellent book
A great book that describes the theory in a concise way.

Adaptive Filtering: Algorithms and Practical Implementation, (The Springer International Series in Engineering and Computer Science)
Paulo S.R. Diniz
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

General | Science | Subjects | Books

Acoustics & Sound | Physics | Science | Subjects | Books

General | Medicine | Subjects | Books

Qualifying Textbooks - Spring 2007 | Stores | Books
Similar Items:

Adaptive Filter Theory (4th Edition)
Adaptive Filtering Primer with MATLAB

ASIN: 1402071256

Book Description

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference.
This second edition contains a substantial amount of new material:

-Two new chapters on nonlinear and subband adaptive filtering;
-Linearly constrained Weiner filters and LMS algorithms;
-LMS algorithm behavior in fast adaptation;
-Affine projection algorithms;
-Derivation smoothing;
-MATLAB codes for algorithms.

An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available.
Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.

Customer Reviews:

An excellent book.......2001-12-09

The book by Prof. Diniz is indeed amongst the best on adaptive signal processing. Most of the fundamental concepts are well explained, suitable examples are given and practical applications are also discussed. The chapter on adaptive IIR filters is unique and still cannot be found in any other book. Moreover, solutions to the problems can be obtained by ftp, which is something very useful for students. Despite this is an excellent book (5 star), the price is ridiculous, as occurs with most titles from this publisher. If I were Prof. Diniz I would change from Kluwer Academic Publishers to a more competitive publisher.

A great book that describes the theory in a concise way........1999-06-08

Dr. Paulo Diniz has a unique view of the Adaptive Filtering field, due to years of extensive teaching experience. His book on Adaptive Filtering is a complete reference to the field, describing the theory in a concise way. The book develops the most important results in the field in less than 500 pages, including one chapter on IIR Adaptive Filtering - something that Haykin cannot beat.

The book is appealing to anyone who is interested in Adaptive Filtering and needs an extremely complete and concise reference. Highly recommended.

Stochastic Models, Statistical Methods and Algorithms in Image Analysis (Lecture Notes in Statistics)

Average customer rating:

Stochastic Models, Statistical Methods and Algorithms in Image Analysis (Lecture Notes in Statistics)

Manufacturer: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
ProductGroup: Book
Binding: Paperback

General | Mathematics | Science | Subjects | Books

Applied | Physics | Science | Subjects | Books

Average customer rating:

Algorithms for Statistical Signal Processing
John G. Proakis
Manufacturer: Pearson Education
ProductGroup: Book
Binding: Hardcover
ASIN: B000MVD0WW

Algorithms for Statistical Signal Processing by Proakis, John G.

Average customer rating:

Algorithms for Statistical Signal Processing by Proakis, John G.
0
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Paperback
ASIN: B000OI592M

Books:

Books