Product Description
Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers, Digital Signal Processing Using Matlab and Wavelets emphasizes the practical applications of signal processing. Over 100 Matlab projects and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. The book also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to Matlab programming, it moves through filters, sinusoids, sampling, the Fourier transform, the Z transform and other key topics. An entire chapter is dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects, and Microsoft® PowerPoint slides. ... Read more

Customer Reviews (7)

ok primer
text is not incrediblythourough or rigorous. Introduces some concepts like FFT without explaining them fully, leaving that for later sections. If buying for a class you've not much choice, if buying for reference or personal study I'd look elsewhere.

Great intro to DSP
Digital Signal Processing using MATLAB and Wavelets provides a gentle introduction to topics in DSP and gives easy MATLAB examples to get you up and running right away.The thing I like best is that it is written in plain English with a liberal amount of diagrams to help you follow.The author's voice comes through and you get the sense that you're being guided through the subject instead of reading a mathematical reference.

Extremely basic : Good only for beginners
If you know something about MATLAB and DSP, you will not learn anything from this book.
It is very elementary. The title should be have been "DSP using MATLAB for dummies"!
It is only useful for the people who are just beginning to learn MATLAB/DSP

rating without the book
Hi!
I've purchased this book on 30/11/08 , today is 6/01/09 and I still haven't received it yet, so do not ask me about my opinion!!!
Andrew

about 'digital signal processing with matlab'
The book is on a very elementary level.It reads as if it were written for second graders.However, if you are just starting out with the subject the book does supply some good insight into the subjects covered.I would consider it a good first step towards a more sophisticated treatment of DSP, MATLB, and wavelets. ... Read more

Product Description
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University

The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing.The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.

Features:

* Balances presentation of the mathematics with applications to signal processing
* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox
* Companion website for instructors and selected solutions and code available for students

New in this edition

* Sparse signal representations in dictionaries
* Compressive sensing, super-resolution and source separation
* Geometric image processing with curvelets and bandlets
* Wavelets for computer graphics with lifting on surfaces
* Time-frequency audio processing and denoising
* Image compression with JPEG-2000
* New and updated exercises

A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.

Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.

Companion website: A Numerical Tour of Signal Processing

Product Description
A comprehensive and practical treatment of adaptive signal processing featuring frequent use of examples. ... Read more

Customer Reviews (6)

Good but...
This book can only be read if you have a very strong background in mathematics. Adaptive filter design is a career on its own, you need a good instructor in order to understand it. If your math is moderate, this book will not help and you will be wasting your money but If your math is great then you might consider buying it.

Best book for learning adaptive signal processing
Adaptive signal processing is akin to neural networks in that they are both non-linear solutions to problems. In traditional linear modeling approaches, it is possible to algorithmically determine the model configuration that absolutely minimizes output error. The price paid for the greater non-linear modeling power of neural networks and adaptive filters is that although we can adjust a network to lower its error, we can never be sure that the error could not be lower still.
This book, although over twenty years old, is still the best one on the subject in my opinion. The book first introduces the concept of the adaptive linear combiner in which the weights of a weighted sum are updated based on the output of an adaptive algorithm that uses the difference between the output of the weighted sum and the filter's output along with the inputs that are being weighted. In essence, an adaptive filter is forming the weights of a neural network.
The next section of the book deals with the underlying assumptions about the statistics of the input signals to adaptive systems along with the extremely large time complexity (O(n^3)) required to solve for an adaptive system per iteration. This is largely due to the inversion of an NxN autocorrelation matrix that must be done per iteration. It is demonstrated that this time complexity can be reduced by using the concept of the performance surface and gradient estimation. This method adapts the filter coefficients on a sample-by-sample basis by using the steepest descent method in which the next filter coefficient "vector" h(n+1) is increased by a change proportional to the negative gradient of the mean-square-error performance surface. In this section of the book, knowledge of random processes is essential and knowledge of the theory of algorithms would be helpful.
Next the book talks specifically about the least mean squares algorithm, which is the basis for solving adaptive systems, along with the role of the Z-transform in adaptive systems and their description.
The final part of the book talks about the various applications of adaptive filters and how they are used to solve real problems. The first and simplest application shown is that of system identification. The author clearly shows how to set up an adaptive system that is parallel to the unknown system.Changing the adaptive system's filter taps until the difference between the output of the unknown and adaptive systems is minimal yields the filter coefficients for the unknown system. The author uses this basic example to branch off into more difficult problems such as equalization and beamforming.
I found the text to be very clear and well illustrated with many worked out examples. However, an absolute minimum requirement for understanding this book would be a course or equivalent experience in both random processes and digital signal processing. The following is the table of contents:
GENERAL INTRODUCTION.
Adaptive Systems.
The Adaptive Linear Combiner.
THEORY OF ADAPTATION WITH STATIONARY SIGNALS.
Properties of the Quadratic Performance Surface.
Searching the Performance Surface.
Gradient Estimation and Its Effects on Adaptation.
ADAPTIVE ALGORITHMS AND STRUCTURES.
The LMS Algorithm.
The Z-Transform in Adaptive Signal Processing.
Other Adaptive Algorithms and Structures.
Adaptive Lattice Filters.
APPLICATIONS.
Adaptive Modeling and System Identification.
Inverse Adaptive Modeling, Deconvolution, and Equalization.
Adaptive Control Systems.
Adaptive Interference Cancelling.
Introduction to Adaptive Arrays and Adaptive Beamforming.
Analysis of Adaptive Beamformers.

Classic
This is a classic not because it was one of the first books on the subject but because he actually lets you "understand".

I have not found a comperable book on Kalman filtering. To bad Widrow and Stearns have not written one on this subject.

Get This Book if you want to get This Subject.
I've even been known to give this book as a gift (for the electrical engineer that doesn't have everything).Something that I have observed about superior explainers over the years, is that if they really know the subject, then they can explain it to almost anyone.Widrow invented the subject and can see it with his mind's eye and more importantly can give you the vision.He reduces the dynamics to a marble seeking the bottom of a bowl.In fact, he helps you become the marble and the bowl.I have attended many seminars and short classes over the years at UCLA.Widrow's was the only one where we gave the lecturer a standing ovation.

Before I read this book, adaptive filtering was a mystery and the LMS algorithm looked like a programming nightmare.It looked like more Kalman filtering.My eyes have been opened.The LMS algorithm for adaptive filtering is almost as simple as Tit for Tat is for game theory.This is the gateway text to understand adaptive filtering, adaptive arrays (help the navy find the rogue submarine), adaptive equalization (design the next generation of modem), adaptive control(say goodbye to overshoot), adaptive prediction (beat the stock market).Furthermore, it leads naturally into the artificial intelligence techniques.

If you are an engineer or a programmer, you should have this tool in your toolbox.

The best introductory book I've seen on this subject
This book is for the person who actually wants to learn HOW IT WORKS. Widrow writes in a clear and easy-to-follow style which delivers all of the mathematical theory and detail of the process of adaptation without drowning the reader in formalism. Statistical signal processing, adaptationdynamics, steady-state behavior, performance - this book explains all ofthese fundamentals. If you want to become an expert in adaptive signalprocessing, start with this book. ... Read more

Product Description
Get a working knowledge of digital signal processing for computer science applications

The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today's cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides:
* A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature
* Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language
* Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors
* A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications
* More than 200 illustrations as well as an appendix containing the essential mathematical background ... Read more

Customer Reviews (5)

Both pragmatic and very readable.
Published by John Wiley & Sons, this book is destined to become a technical classic. It was written in a kind-of light style, with humorous anecdotes mixed in. And, unlike most DSP books--aimed at graduate level electrical engineering students--it doesn't assume a knowledge of advanced calculus. In fact, it doesn't assume a background in computer science math, either (the author's got that covered in Appendix A: Whirlwind Exposition of Mathematics). In the introduction, Dr. Stein bills his book as the only signal processing book you'll ever need, and it is amazingly comprehensive.

It needs to be updated, though.

Where's computer Science perspective
One of the worst books I've seen on digital signal processing. Can't figure out how this book got 5 stars. Check Discrete-Time Signal Processing by Alan V. Oppenheimor Digital Signal Processing
by John G. Proakis

Great explanation of DSP for the computer scientist
This book does what no other book I know does - lays out the theory of DSP in plain language for the computer scientist. This book will probably seem a little on the light side for electrical engineering students and professionals, but even they will benefit from the author's plain-language descriptions and instructive figures. The author has an easy test to see if you have sufficient mathematical background to understand this book - he says you should look at the appendix, which is entitled "Whirlwind Exposition of Mathematics", and if at least half of the subject matter is familiar, then you are mathematically qualified.

The material is presented in a very unconventional fashion. Although the title of part one, "Signals", indicates a traditionally organized DSP textbook, this section contains a chapter on Noise that doesn't seem to fit in with the other four chapters.

Part two is entitled "Systems", and covers ground you wouldn't generally expect in a general DSP text. It goes all the way from answering the simple question "Why Convolve?" to filter design techniques to correlation and biological signal processing. You won't be ready to design biomedical devices after you read this chapter, but it outlines some underlying principles of speech processing and neural networks in very accessible language and prepares the student for further study.

Part 3, "Architectures and Algorithms", is where this textbook really shines. In this section the author equates many DSP problems to graph theory and manipulation, deals with spectral analysis and correlates matrix algebra techniques to finding sinusoids in noise, and presents filter implementation in computer program format via pseudocode. The author also talks about how to produce mathematical functions that the DSP processing language you are using may not implement, and about the basic structure of a DSP embedded system.

The final section of the book, "Applications", takes a whirlwind tour of many of the aspects of communications signal processing and speech processing where DSP is essential. This is not meant to be a definitive text on these two broad complex topics. Rather, it is meant to bring to life the concepts and algorithms discussed up to this point.

If you are an electrical engineer, I would say a better choice would be "Discrete Time Signal Processing", since there is a more mathematical presentation of concepts that is more comfortable to individuals in that discipline. However, if you are a computer scientist, I would start with this book and then go on to more formal texts once you get the big picture presented here. The one negative thing I would say about this book is that I think it tends to oversimplify the mathematical complexity of DSP's sister discipline of random processes and noise. However, for the core subject of DSP from the computer scientist's perspective, I recommend it.

NEWINSIGHT
Within 850+pagesMR.Stein has touch all the major aspects of DSP theory &applications, includeing statistical concepts too.Though I am not a computer personal (but electronic) presentation & explanations have been stimulated me to have a different synthesis of concepts & ideas of DSP.This naturally led me to a good understanding with a good insight.Richhistorical details & end of the chapter biblographical notes are very useful features for a mature reader.Although my vivews may not berelevant to a absolute biginer this type of book is a invaluable at certain stage of one's education.Typhos are a little problem.

An outstanding accomplishment in DSP
This book really lives up to its name.The author, Jonathan Stein, has taken a tremendous amount of DSP subject matter and hand-tailored it for a perfect fit for readers with a computer-science background.While the relevant math is still there, the book excels at providing easily accessible and readable explanations and descriptions of the various topics.As you read the various chapters, it becomes very apparent that the author has truly understood, assimilated, and has put into practice virtually all of the information from his listed references and his real-world experience.Stein is simultaneously a practicing expert in the field, an academic master of each subject, and a patient, thoughtful and humorous teacher who knows well the unique needs of his readers.

Computer scientists will appreciate the six chapters (12-17) devoted to Architectures and Algorithms.This emphasis is what sets this book apart from the many other DSP books out on the market.I especially enjoyed Chapter 17, Digital Signal Processors. After reading Sections 1-3, I finally understood the significance of the MAC (Multiply-and-Accumulate) operation, and exactly how a DSP processor allows it to be executed in one clock cycle.Section 7 guides the new DSP programmer with Stein's well-conceived CHILD's play system of DSP task development.And on the humorous side, in Section 8 describing DSP Development Teams, we are told, "Your boss has given you five days to come up to speed (in understanding the new system).In your cubicle you find a stack of heavy documents.The first thing you have to learn is what a TLA is."You will find yourself breaking out with stifled bursts of nervous laughter as this all-too-true scenario unfolds.

Definitely give this book a try and you'll come to understand and appreciate DSP in a new light from Stein's unique perspective.It will make a welcome and refreshing addition to your DSP library. ... Read more

Product Description
Digital Filters and Signal Processing, Third Edition ...with MATLAB Exercises presents a general survey of digitalsignal processing concepts, design methods, and implementationconsiderations, with an emphasis on digital filters. It is suitable asa textbook for senior undergraduate or first-year graduate courses indigital signal processing. While mathematically rigorous, the bookstresses an intuitive understanding of digital filters and signalprocessing systems, with numerous realistic and relevant examples.Hence, practicing engineers and scientists will also find the book tobe a most useful reference.
The Third Edition contains a substantial amount of new materialincluding, in particular, the addition of MATLAB exercises to deepenthe students' understanding of basic DSP principles and increase theirproficiency in the application of these principles. The use of theexercises is not mandatory, but is highly recommended.
Other new features include: normalized frequency utilized in the DTFT,e.g., X(e^jomega); new computer generated drawingsand MATLAB plots throughout the book; Chapter 6 on sampling the DTFThas been completely rewritten; expanded coverage of Types I-IVlinear-phase FIR filters; new material on power anddoubly-complementary filters; new section on quadrature-mirror filtersand their application in filter banks; new section on the design ofmaximally-flat FIR filters; new section on roundoff-noise reductionusing error feedback; and many new problems added throughout. ... Read more

Product Description
A volume in the BookWare Companion Series, this book has been developed as a supplement to traditional core texts in DSP for instructors and students who wish to make MATLAB an integral part of their study of DSP topics and concepts. The books in this new series are designed to promote studentsU problem solving and critical thinking skills through the use of MATLAB as a TTvirtual laboratory.UT A 3.5UT disk of MATLAB data files is available. ... Read more

Customer Reviews (4)

Beginners' Tutorial for MATLAB / GNU Octave (any version)
MATLAB is an excellent tool for learning digital signal processing (DSP).

This book is also good for beginners who want to learn MATLAB for applications other than DSP.

There are many sample codes, and they are reasonably concise, not too onerous to type. I have tested the code in Chapter 2 using GNU Octave for Windows version 3.0.3; they all work perfectly. The only correction is that keyword "end" should be appended at the end of every function. For example, in p.8,

function[x,n]=impseq(n0,n1,n2)
n=[n1:n2]; x=[(n-n0)==0];
end

Best of the Best
If you want a really good book to understand DSP using Matlab , there isno other book that even comes close to this. Lucidly written, with plentyof examples, this book brings you the utter joy of learning DSP by usingit.

It is really fortunate that DSP has such a good stream of books formthe likes of Richard Lyons to the venerable Oppenheim to the practicalProakis.

This is the one book that has really earned its price.

fft transform and filterinf adaptive with dsp
free DSP literaturefiltering with DSP adaptive filtering with DSP Buttrfly Method implemaentation

Excellent to really understand DSP principles
The only way to really understand DSP is having a book like this athand.It's plenty of clear explanations of almost every topic in DigitalSignal Processing. ... Read more

Product Description

The Handbook of Signal Processing in Acoustics will compile the techniques and applications of signal processing as they are used in the many varied areas of Acoustics. The Handbook will emphasize the interdisciplinary nature of signal processing in acoustics. Each Section of the Handbook will present topics on signal processing which are important in a specific area of acoustics. These will be of interest to specialists in these areas because they will be presented from their technical perspective, rather than a generic engineering approach to signal processing. Non-specialists, or specialists from different areas, will find the self-contained chapters accessible and will be interested in the similarities and differences between the approaches and techniques used in different areas of acoustics.

The Handbook will have many illustrations, tables, and key equations. Signal processing techniques which find major application in different areas of acoustics will be presented from differing perspectives. There will be an extensive index for cross-referencing of material in the book.

Product Description
The first book to offer practical applications of neural networks to solve problems in digital signal processing and imaging. A highly practical book with a minimum of math and a wealth of examples. Disk includes a complete program for training, testing, and using neural networks along with C++ subroutines for all techniques discussed and source for the book's example code. ... Read more

Customer Reviews (1)

Best C++ Source Code available for MLFN.
"The principal focus of this book is the multiple-layer feedforward network (MLFN)."This network is the most common and most used type of neural network.I have all of Masters books and this is his best presentation and source code for the MLFN.Chaper 2. of the book is about a complex number version of the MLFN, but it also includes the common real number versions. Other chapters on Data Preparation, Frequency-Domain, Time/Frequency Localization (Gabor Transform, Fourier Transform, Morlet Wavelets) and applications.

The C++ source code is easy to compile, understand and use.Includes simulated annealing, conjugate gradient algorithms and hybrid learning methods. ... Read more

Product Description

Product Description
This rigorous text provides in-depth coverage of radar signal processing from a DSP perspective, filling a gap in the literature. There are a number of good books on general radar systems: Skolnik and Nathanson are the most popular. There are also good monographs on advanced and specialty topics like synthetic aperture imaging. But there is a large, practical gap between the qualitative system books and the advanced DSP titles, and that is the slot this book fills. ... Read more

Customer Reviews (4)

Good book for the beginners.
It is a good book for beginners who want to learn the fundamentals of radar signal processing. Derivations are clear and easy to understand. However, if you need an in-depth analysis o the subject you should try other resources.

Comprehensive Treatment from Introductory to Advanced Levels of Radar Signal Processing
This text definitely fills a void in the unclassified radar textbook literature.Perhaps if one looks in a library for some out-of-print titles such as those from the MIT Radiation Laboratory Series, one might find similar coverage.However this text is "in print", modern, and up-to-date.

Chapter 2 deals with some basic topics about radar signals, and Chapter 3 discusses sampling and quantization topics, which are vital in the modern DSP era.Chapter 4 discusses Matched Filters and the signal processing of a number of modulated radar waveforms.Chapter 5 discusses Doppler processing, which is an important modern topic.

Chapter 6 discusses Radar Threshold Detection.However, if one truly wants to grasp the detection problem, one ought to read Volumes I & III of Van Trees, the first covering the basics of Detection and Estimation Theory, and the latter covering the D&E problem for Radar with some in depth mathematics.

Chapters 7,8, and 9 of Richards proceed to deal with the advanced topics of CFAR Detection, Synthetic Aperture Radar (SAR), beamforming, and Space-Time Adaptive Processing (STAP).All in all, starting with the basics, this book by Richards is a pretty thorough coverage of Radar Signal Processing.

If one wants to understand radar from a DSP perspective, first read Skolnik's "Introduction To Radar Systems" to get a basic understanding of how radar works.Then read this book by Richards to understand radar DSP.

Excellent excellent book
I have enjoyed this book enormously throughout. While there are a fairly large number of radar books available, this is the first that I have read that lays out the signal processing aspects of radar in such a coherent, pedagogically sound, and self-contained way, generally from first principles. For example, the exposition of slow and fast time processing throughout the book was very illuminating, as was the connection drawn between the Neyman-Pearson receiver and the matched filter.The only other text I have seen that combines such clarity of vision, readability, and rigor is the book by Peebles, which unfortunately has little material on digital radar signal processing.

Superior treatment
This is a superior book! There is nothing comparable in either the general radar or the signal processing literature. It provides an exceptionally clear treatment of difficult subject matter. The author patiently guides the reader through radar basics and then into the depths of the associated data processing concepts. The treatment is so lucid that even a neophyte can expect to develop a deep understanding of the concepts involved and be able to apply them immediately (i.e.,When the boss comes in and says, "You're my radar expert. Tell me how you're going to process the all the data!", this book is the antidote to the ensuing panic attack.). The clarity of the brief radar dicussions throughout the text (e.g., the SAR chapter)will provide glimmers of additional insight on radar even to those with indepth knowledge of the area.

The sensor-related texts by Georgia Tech authors are of uniformly high quality. This is the best of the lot. ... Read more

Product Description
The last decade has seen an exponential growth in the number of Internet users, and networks rely on high performance storage devices for server and database applications. This handbook reviews advanced signal processing, modulation, coding techniques, and architectures for recording read channels. It is divided into four major areas that cover theoretical background, state-of-the-art read channels and their subsystems, the treatment of the data channel, and modulation and error control coding. The text also reviews read channel technology including novel read channel architecture such as post processor, super chip, and issues of digital design, chip testing, and manufacturing. ... Read more

Product Description
In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves.Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions.For basic DSP, it is quite simply the only book you need. ... Read more

Customer Reviews (4)

Phd in DSP
This is a nice text in Digital Signal Processing. It is ideal for Junior or Senior level undergraduates who have not been previously exposed to the subject. The combination of mathematical theory with Matlab examples allows students to gain confidence in their work and quickly visualize results.

Digital Signal Processing with Examples in MATLAB -short review
The book is very good as a background for beginners in DSP, when they are going to use MATLAB, as a tool. The readers may undesrtand the text, without very sophisticated knowledge in mathematics and MATLAB procedures. However, it would be better, if the author could write more about several, used frequently, areas of modern DSP applications - new methods of time-frequency analysis (for example wavelets etc.), dynamic 3D image analyses, with many typical examples using MATLAB.

Misleading
I bought this text as a self-study aid, primarily because the book is advertised as including the solutions to the problems at the end of each chapter.I was very disappointed to find that the answers are provided, but the zip files for the solutions are password protected and made available to only universities.What a shamocary.Other than that, the book has proved to be very light in the discussion section and heavy in the problem sets - so the solutions are very much needed to derive any good use from the material.

Great Practical DSP Book loaded with Matlab examples
I used this book for a first course on DSP. This book is very practical. It is loaded with Matlab algorithms that will make your discrete signal processing simulation development enjoyable and challenging.
The Matlab examples cover just about every thing encountered in DSP development. It covers statistical signal analysis, adaptive filter design, FIR, IIR and other important topics.

Readers of this book should download the entire code examples used in this book off the website assigned to this book. ... Read more

Product Description
This innovative text and CD-ROM focuses on the fundamentals of digital signal processing with an emphasis on practical applications. In order to motivate students, many of the examples illustrate the processing of speech and music. This theme is also a focus of the course software that features facilities for recording and playing sound on a standard PC. The accompanying CD-ROM contains a comprehensive MATLAB software package called the Fundamentals of Digital Signal Processing (FDSP) toolbox. The FDSP toolbox includes chapter GUI modules, an extensive library of DSP functions, all computational examples that appear in the text, the text figures, solutions to selected problems, and online help documentation. Using the interactive GUI modules, students can explore, compare, and directly experience the effects of signal processing techniques without any need for programming. ... Read more

Product Description
This text is intended to be used by postgraduate and advanced undergraduate students in the study of discrete-time integrals. It focuses on an algebraic approach to the analysis and design of discrete-time signal processing algorithms which renders the Laplace and z-transforms redundant for this purpose. While the material on difference equations is developed slowly, from an elementary base, it is assumed that the reader has a working knowledge of complex numbers and has completed a first course in vector and matrix analysis. Various subjects and problems are discussed including: - The solution of both difference and state space equations - Provides an alternative approach to the use of Laplace and z-transformations - Linear-algebraic ideas for the analysis and design of linear signals - The Design of recursive (IIR) and nonrecursive (FIR) digital filters - The design of classical Butterworth, Chebyshev and Elliptical analog filters and the transformation of analog filters - The Discrete Fourier Transform and its implementation through the Fast Fourier Transform - Applications of least-squares analysis to the design of linear phase FIR filters, convolution (FIR and IIR) signal models, and state space signal models - Design of digital filters via discrete approximation of analog filters, digital transformation of analog filter, and digital transformation of digital filter - Finite wordlength (FWL) implementation of IIR digital filters including the basic properties of both fixed and floating point arithmetic representations, implication of arithmetic quantizations and filter structure on accuracy and speed of real-time implementation - Written with clarity and containing the latest, detailed results based on comprehensive research, this book is an important textbook for all students interested in discrete-time signals - The text supports the use of algebra-based software packages, such as MATLAB . ... Read more

Product Description
"In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, ""father of the MRI,"" and Dr. Zhi-Pei Liang have co-authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles.The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected essential topics:

• Mathematical fundamentals
• Signal generation and detection principles
• Signal characteristics
• Signal localization principles
• Image reconstruction techniques
• Image contrast mechanisms
• Image resolution, noise, and artifacts
• Fast-scan imaging
• Constrained reconstruction.

Complete with a comprehensive set of examples and homework problems, PRINCIPLES OF MAGNETIC RESONANCE IMAGING is the must-read book to improve your knowledge of this revolutionary technique.

Professors: To request an examination copy simply e-mail collegeadoption@ieee.org."

Sponsored by:
IEEE Engineering in Medicine and Biology Society. ... Read more

Customer Reviews (7)

Great Detail, But Lacking in Motivation
First let me describe the book as to its production quality. This is one of the typical IEEE productions, namely the paper quality is on par with your local newspaper, the binding cracks upon opening, and they have the annoying "enhancements" of shading examples in gray which often makes them unreadable. I have had this problem with most IEEE books and for the price they charge they should at least provide some quality in production.

Now to the content. The authors provide a comprehensive and detailed analysis of MRI and signal processing.

My concerns relate to the following issues:

1. MRI can be quite difficult. The reader must first understand the physics, then the signaling to effect a response signal, then the modulation of the response so as to select voxels to be detected, and then the Fourier analysis which produces the image. The reader, if approaching this for the first time, even a well educated signal processing engineer, should have a pathway to follow. The authors fail in this element. All the information is there, yet one must construct the framework.

2. Certain equations are critical. Others take one along the path. For example, Eq 3.150 and 3.154 are essential. They are what makes MRI. However the authors just slide from one to the other and then from Eq 4.1-4.5 use these without regard to a reasonable transition. They introduce a function M, and one suspects it may be M(w) or M(z) or M(t). Having taught material like this at MIT and written books on the subject of signal processing, one must be careful to delineate key transitions and important equations.

3. The authors have lots of equations but one gets lost in which ones count and how one should follow the "bread crumbs" to use a metaphor. The classic book by Van Trees on Detection and Estimation was the "gold standard" for taking the reader and/or student along the path and delineating key points and conclusions. In this text the authors just seem to jumble every equation together with equal value.

4. The heart of MRI is the signals used to do phase and frequency transitions across the elements to be processed. The discussion in this book regarding that is, I feel, quite weak. One should be given a good intuitive feeling and then apply the mathematics. As I have often told my students, first explain what is happening and then apply the mathematics to "pretty it up". Here the authors have almost bludgeoned the reader with mathematics.

The book contains great pearls, yet the quality of the printing, not the authors' fault, and the jumbling of every equation possible, leaves the reader wondering. A better press, publisher, and a rewrite with focus and builds of ideas would make this a great and much needed contribution to the field. It is clear that the authors know their material, it just needs fine tuning.

A very well-written book on MRI
A very well-written book. It includes step-by-step analysis which leads beginners to gradually understand the concepts and physics. It is very good for textbook as well as for self learning.

Book Corrections - part I
First, a confusing omission on p118, eqn: 4.28.
The transverse component should be defined first as:
Mx'y' = Mx' + i My' = ...
This omission may be confusing when the previous chapter is not read before this one, as the definition of Mx'y' is not defined earlier in this chapter.

p.123 eqn: 4.43,
Mxy should be labeled Mx'y', Mx and My should be Mx' and My'
There should be an equals sign after defining Mx(w,(t1+t2)+) + iMy(w,(t1+t2)+)

Great Textbook
This is an excellent textbook. Easy to follow if you are comfortable with Electromagnetics already.Lot's of math and examples inside.Make sure u get this book first, if you study MRI.

A definitive text for the signal processing of MRI
Magnetic resonance has recently recieved many riches in the form of excellent, definitive texts that have bundled together the advances of the last 20 or so years.Drs. Liang and Lauterbur have added to this trove by writing a text that goes beyond the standard descriptions of magnetic resonance image formation and including many advanced techniques available today, some of which they originated.The ideal audience for this text includesscientists, engineers, and physicians actively developing MRI applications from the physics on up. Though containing many recent developments it contains a core of medical imaging information that will not be outdated.The mathematical depth is sufficient to serve as a reference of basic and sophisticated methods but with enough pedagogical information to tutor the interested student. Liang and Lauterbur should be on the shelf of any serious professional or insightful student. ... Read more

Product Description
This book is the perfect source for those interested in learning the basic principles of digital signal processing. Features an exceptionally accessible writing style and emphasizes the theoretical aspects of digital signal processing.Explains how the coefficients of the discrete time system equation are selected in order to implement the desired "digital filter." Includes overview of the continuous time system theory—including coverage convolution, system impulse response, and the Fourier Transform. Illustrates the power of DSP by inclusion of a chapter on adaptive FIR filters using the LMS algorithm. Discusses oversampling, downsampling, upsampling, and introduces the theory of random signals and their associated power spectral density functions.For anyone wanting an easily-accessible, theoretical introduction to digital signal processing. ... Read more

Product Description
This textbook presents both discrete systems and digital signal processing in a conversational style that relies on a minimum of mathematics. The authors use carefully crafted pedagogy and detailed examples to improve students' problem solving skills, to help them see interrelationships and connections, and to integrate new material with what they have seen in previous chapters. The book also provides a number of computer-based methods for solving problems. ... Read more

Customer Reviews (3)

FANTASTIC DSP BOOK
Not only this is the best DSP book I have used , but also the
best written engineering book I have experienced in my career. Subjects are presented clearly and the author prepares you wellfor the next lesson. I have been able to acquire the DSP knowledge I wanted in a few weeks and without any professors.
Strum and Kirk are both great educators.

OK, but lacks depth
I came across this in a "signals & systems" course that was intentionally being kept gentle. This book worked well enough, for students who didn't need real analog analysis.

Despite its title, this is a more of a "First Course" in discrete signals and systems. It does not, in fact, derive much at all from first principles. The Nyquist sampling theorem, for example, not proven but taken as a premise.

If you want a quick view (or review) of digital signals and filter design without having to plod through proofs knee-deep, this might work for you - it works for me. It is not a title for the most serious student, though.

excellent introduction to DSP
This is one of the best DSP books on the market today.As the title "First principles of ..." indicates the focus of the book is on fundamentals, it is designed for the beginning student andthe authors provide many, many clear examples and illustrations to guide the student through the material from discrete systems to more advanced signal processing algorithms.

If you are the unfortunate victim of a course being taught with Oppenheim and Schafer's muddled text do yourself a favor and get this book as a supplement. It is complete with solved problems, questions with answers (to selected problems), it provides a necessary degree of mathematical rigor without becoming tedious and presents general numerical algorithms for solving major signal processing problems.

I took a DSP course from the principal author while he was compiling the notes for this text (and eagerly awaited the publication of his book) and I must say the result isexcellent (so was his course) and very highly recommended.

One unfortunate attribute is the poor quality of this book's construction and the reason I gave it 4 stars instead of 5. I purchased the book 10 years ago and the pages have yellowed very badly and the binding broke almost immediately. Although Addison-Wesley generally produces a superior quality book thisone's binding is more like a typical Prentice Hall cheapo. ... Read more

Product Description
The principles of signal processing are fundamental to the operation of many everyday devices. This book introduces the basic theory of digital signal processing, with emphasis on real-world applications. Sampling, quantisation, the Fourier transform, filters, Bayesian methods and numerical considerations are covered, then developed to illustrate how they are used in audio, image, and video processing and compression, and in communications. The book concludes with methods for the efficient implementation of algorithms in hardware and software. Intuitive arguments rather than mathematical ones are used wherever possible, and links between various signal processing techniques are stressed. The advantages and disadvantages of different approaches are presented in the context of real-world examples, enabling the reader to choose the best solution to a given problem.With over 200 illustrations and over 130 exercises (including solutions), this book will appeal to practitioners working in signal processing, and undergraduate students of electrical and computer engineering. ... Read more