Product Description

Reflecting the rapid advances in microelectronics and computer technology, this powerful study guide is ideal as a supplement to any course on this subject or for independent study by electrical engineering majors and practicing engineers. Readers will learn how digital signal processing techniques come into play in a wide range of fields and will appreciate this thorough, yet concise coverage. The many illustrative problems with detailed solutions and the supplementary self-tests speed comprehension and aid remembering.

Product Details

• Amazon Sales Rank: #125294 in Books
• Published on: 1998-08-31
• Original language: English
• Number of items: 1
• Binding: Paperback
• 432 pages

Features

• ISBN13: 9780070273894
• Condition: NEW
• Notes: Brand New from Publisher. No Remainder Mark.
• Click here to view our Condition Guide and Shipping Prices

From the Back Cover
Master digital signal processing with Schaum's­­the high-performance study guide. It will help you cut down on study time, hone problem-solving skills, and achieve your personal best on exams. Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides! Get the edge on your classmates. Use Schaum's!

If you don't have a lot of time but want to excel in class, this book helps you: brush up before tests; find answers fast; study quickly and more effectively; get the big picture without spending hours poring over lengthy texts. Schaum's Outlines give you the information teachers expect you to know in a handy succinct format­­without overwhelming you with unnecessary details. You get a complete overview of the subject, plus, plenty of practice exercises to test your skill.

Compatible with any classroom text, Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember­­fast! And Schaum's are so complete they're perfect for preparing for graduate or professional exams! Inside you will find:

• Over 300 detailed problems with step-by-step solutions
• Hundreds of additional practice problems, with answers suppled
• Clear explanations of digital signal processing for EE majors and practicing engineers
• Coverage reflecting advances in microelectronics and computer technology

If you want top grades and a thorough understanding of digital signal processing, this powerful study tool is the best tutor you can have!

About the Author
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

Customer Reviews

Good Supplement to Oppenheim or Proakis (DSP book)
This book is intended to serve as a supplement for an EE DSP course, which probably uses one of the texts listed above. If you want to self-study DSP I recommend the Steve Smith book (available in print or on his website) as a place to get started.
The best areas of Dr. Hayes' book are its treatement of sampling (better than John Proakis' book), z-transforms and DFT. I think the FFT treatment was okay and the filter design at the end was a little light, but that is okay since this is really intended for a first semester course. The main purpose of all the Schaum's books is to provide more worked out examples of tricky material and Hayes' book serves the purpose. One final thing, in the introduction, the author says to check out his website that has errata listed, but I typed the address in and got an "under construction" message.

This is a good reference book
I used this book in the DSP class in Georgia Tech. I think it is very useful and explains many complicated issues in plain theory. It uses a lot of examples which are difficult to find in the textbook, like the Oppenheim and Schafer, Discrete-Time Signal Processing.

Good as a refresher or supplemental text in DSP
This outline could never stand alone as a DSP tutorial, but it is excellent if you need extra problems to solve or if you need a refresher course in elementary DSP topics. Chapter one starts where any DSP course usually starts - with a quick review of signals and systems. Chapter two is on Fourier analysis and discusses all of the basics including the concept of filtering, interconnection of systems, and finally the discrete time Fourier transform and its properties. Chapter 3 is on sampling, and includes a good discussion of analog to digital conversion and how it can induce aliasing. Next the converse, digital to analog conversion, is discussed as well as discrete time processing of continuous signals and finally sample rate conversion. Chapter 3 is especially useful, since most DSP texts do not go into as much detail on practical A/D and D/A conversion topics as this chapter does. Chapter four finally gets into the z-transform - its definition, its properties, and its inverse. Chapter 5 is about the transform analysis of systems and specifically how the z transform makes the analysis of such systems much simpler than what was done in earlier chapters. Chapter six discusses the discrete Fourier transform, which is a finite-series version of the DTFT, which was discussed in chapter two. Because the Discrete Fourier Transform has a time complexity of NxN, the next chapter discusses its more practical alternative the Fast Fourier Transform, which has an NlogN time complexity. This might seem trivial at first, but if you are filtering 1Kx1K pixel images, the difference becomes significant. Although this chapter is very brief, it does a pretty good job of driving home the main points of the algorithm. Also, it has some pretty good exercises on the FFT, which are usually hard to find in textbooks. Now that all of the groundwork has been laid, chapter eight discusses the implementation of discrete time systems, which is the essence of DSP. Common filter structures are introduced. Chapter 9, the final chapter, is on filter design. Both IIR and FIR filter techniques are introduced. Thus, if you are in an advanced DSP course, this outline will probably be too elementary for you. For first semester students, this should be a very helpful outline for transitioning from the study of linear systems to DSP.