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FEATURES: *Presents many computer-based problems that can be done in conjunction with a course in DSP theory. *Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied. *Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing. *Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5. *Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems. *Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.
- Sales Rank: #1247834 in Books
- Published on: 1997-11-08
- Original language: English
- Number of items: 1
- Dimensions: 10.80" h x 1.10" w x 8.50" l, 2.09 pounds
- Binding: Paperback
- 404 pages
From the Back Cover
FEATURES:
- Presents many computer-based problems that can be done in conjunction with a course in DSP theory.
- Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied.
- Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing.
- Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5.
- Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems.
- Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.
Most helpful customer reviews
39 of 39 people found the following review helpful.
Evaluation depends on individual needs and wants
By A Customer
My evaluation for this book, 2 stars, is based on my specific needs and wants that were the motivation for my purchasing this book, and resulted in disappointment.
I'm a first-semester graduate student in electrical engineering, and wanted to self-learn a lot of MATLAB and its uses with DSP, so that I could get a head's start in gaining the background I would later need for my research in DSP. I knew this book was a collection of exercises in which you create MATLAB programs (.m files) to solve DSP problems and explore various DSP topics. However, I also expected the book to give full solutions to the problems, working through the MATLAB scripts for you so that you could learn the DSP applications of MATLAB through practice.
Unfortunately, I was wrong... The book is divided into a series of projects, and with each project there is a brief explanation of the related theory, and then several problems which tell you to program MATLAB to do so and so, sometimes along with a few hints.... and NO SOLUTIONS ARE GIVEN. In fact, it's basically just a collection of problems. I think it's meant more for TEACHERS... to assign the problems in the book as homework for students in their DSP classes. In that respect, it is natural that there are no solutions included in the book.
In summary, this is not a book you want to buy if you're looking for something you can use to STUDY and LEARN how to apply MATLAB to DSP. It is essentially just a list of DSP problems which require you to use MATLAB. I'm sure the problems themselves are beautifully-crafted problems that would give you lots of insight and grasp of concepts once you have given lots of effort into them and then saw the solutions.... As just a book of problems, I'm sure it would be a top-quality book worthy of 5 stars (after all, look at its authors). But if nobody gives you the solutions, you can't learn a great deal from just the problems and briefly-explained theory.
Just make sure you know what this book is about and whether it really is what you're looking for before you purchase it. I'm planning on returning mine.
23 of 24 people found the following review helpful.
A collection of DSP exercises, NOT a textbook
By A Customer
This book is, as the title says, a collection of DSP exercises. What little mention there is of theory, is basically mere keywords and hints to more theoretical textbooks. The student is also expected to have a working knowledge of MATLAB. The focus of the book is getting hands-on experience with DSP, using MATLAB as a very convenient tool to this end. The authors mention that the intended audience is senior undergraduates and first-year graduate students. I'm not sure if I understand the American educational system, but I think that means the audience of this book is expected to have at least two semesters of basic DSP training.
The book is organized in 12 chapters. The chapters are divided into sections that treat more detailed issues. The chapter and section headings are:
1 Basic Signals and Systems
- Signals
- Difference Equations
- Fourier Transform: DTFT
- Group Delay
- Basic Sampling Theory
- Zero-Phase IIR Filtering
2 Discrete Fourier Transform
- DFT Properties
- DFT as a Matrix
- Convolution: Circular and Block
- Related Transforms
3 Spectrum Analysis
- Spectral Windows
- Sliding-Window DFT
- Narrowband Signals
4 Multirate Processing
- Bandlimited Interpolation
- Zoom Transform
- Rate Changing
5 Systems and Structures
- Systems and Structures
6 Stochastic Signals
- Stochastic Signals
- FFT Spectrum Estimation
- Modern Spectrum Estimation
7 Wordlength Effects
- Wordlength Effects
8 Discrete-Time Filter Design
- Discrete Design of FIR Filters
- Least-Squares Design of FIR Filters
- Chebychev Design of FIR Filters
- Design of IIR Filters
9 DFT and FFT Algorithms
- Direct Calculation of the DFT
- The Cooley-Tukey FFT
- Prime Factor FFTs
- General-Length FFTs
10 Applications
- Radar Simulation
- Introduction to Speech Processing
- Speech Modeling
- Speech Quantization
11 Signal Modeling
- Linear Prediction
- Linear Prediction of Speech
- Exponential Modeling
- Signal Estimation
- Least-Squares Inversion
12 Appendix A: Software and Programming Notes
Each section is divided into a number of projects which, in turn, are divided into a number of exercises.
To get an impression of the level these exercises hold, consider the section "Least-Squares Design of FIR Filters" in chapter 8. The section is divided in the projects
Project 1: FIR Filter Design by Least Integral Squared Error
Approximation
Project 2: Design of High-Pass, Band-Pass and Band-Reject
Least-Squared-Error FIR Filters
Project 3: FIR Filter Design Using Window Functions
The two first exercises of project 3 are (p 269):
=====================================================
Exercise 3.1: Design a Low-Pass Filter Using Windows
Design a length-23 linear-phase FIR low-pass filter
with a band edge of w0 = 0.3pi using the following
windows:
a Rectangular
b Triangular or Bartlett
c Hanning
d Hamming
e Blackman
Plot the impulse response, amplitude response and
zero locations of the four(sic!) filters. Compare the
charactersitics of the amplitude response of the five
filters. Do this in terms of the squared error, the
Chebychev error and the transition bandwidth. Compare
them to an optimal Chebychev filter designed with a
transition band and the least-squared-error filter
designed with a spline transition function. How do
you choose a transition bandwidth for a meaningful
comparision?
==================================================
Exercise 3.2: Design a Band-Pass Filter Using Windows
Take the band-pass filter designed in exercise 2.5
and apply the five windows. Analyze the amplitude
response.
====================================================
Hardly newbie material, in my opinion. The student really needs to know the material (Ex. 3.1) and has to be able to generate useful answers from a very generic job assignment (Ex. 3.2).
These are exactly the reasons why I find this type of exercises attractive (and perhaps why others may be repelled by them). The focus is consistently on what the authors call "learning by discovery" (which probably has little to do with the TV channel...): The student has to find the theory, implement and test most functions himself and has to process synthetic and real data (data and some auxillary functions are available via the www from MathWorks), and also evaluate the results of his efforts. This is exactly the kind of hands-on experience most DSP courses (and perhaps even DSP training programs) lack these days, and what makes this book so very useful.
Some conclusions based on a couple of hours browsing:
- This is NOT a textbook for learning neither DSP
nor MATLAB.
- The reader is expected to have working knowledge
of MATLAB and a firm theoretical basis in DSP.
- This book provides some badly needed hands-on
traning programs.
- The book consistently aims for building insight
and intuition.
- The book is perhaps too tuned towards use in a
class with an instructor.
11 of 16 people found the following review helpful.
Empty Promises
By nhirsh@sprynet.com
This Schaums Outline-type manual apparently had been issued with an earlier text of McClellan's. It is made up of lecture-type problems too brief to understand without a closely keyed text. I'm returning the book. Hope you don't get fooled.
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