Free PDF Schaum's Outline of Theory and Problems of Digital Signal Processing, by Monson H. Hayes
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Schaum's Outline of Theory and Problems of Digital Signal Processing, by Monson H. Hayes
Free PDF Schaum's Outline of Theory and Problems of Digital Signal Processing, by Monson H. Hayes
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Confusing Textbooks? Missed Lectures? Not Enough Time?
Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you
- Practice problems with full explanations that reinforce knowledge
- Coverage of the most up-to-date developments in your course field
- In-depth review of practices and applications
Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!
Schaum's Outlines-Problem Solved.
- Sales Rank: #1252197 in Books
- Brand: Brand: McGraw-Hill Book Companies
- Published on: 1998-08-31
- Original language: English
- Number of items: 1
- Dimensions: 10.80" h x .70" w x 8.30" l, 1.54 pounds
- Binding: Paperback
- 432 pages
- Used Book in Good Condition
From the Back Cover
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
Most helpful customer reviews
3 of 8 people found the following review helpful.
DSP book review
By J. Bradley
This book is mostly composed of formulas and math. It gives little background information on the reasons/motivations for the formulas. I would not recommend this if you are new to digital signal processing.
10 of 11 people found the following review helpful.
Great Companion
By Sephen L. Karcher
This text was recommended as a companion to Oppenheim's "Discrete Time Signal Processing" for a senior DSP filtering course. If your school is like mine, you sit in three hours of lecture a week, nodding and agreeing and feeling like DSP is straightforward and intuitive. Then you sit down to do your homework and wonder, "where did this come from?" Schaum's helps to bridge this gap with compartmentalized topics and numerous examples. The sections help you quickly ascertain how the notation translates and how thoroughly the topic is covered relative to the coursework. The examples help because, let's face it, it helps to see certain types of problems worked through from start to finish. There are many, many examples within the sections and at the end of the sections, worked through in minute detail. If you're into or studying DSP as a senior engineering student, if you're not the top dog in your class but still want to do well, if you learn from examples and from working through many problems that you're able to confirm, then this book is for you. If you're looking for a "solutions manual" type of book, if you want a "cliff notes" type companion, or if you don't understand lecture concepts at all, then this book won't help you much. It's not an introductory text, although it covers introductory concepts, in my opinion there's not enough background on the rudimentary DSP topics to truly qualify as introductory.
18 of 18 people found the following review helpful.
Good as a refresher or supplemental text in DSP
By calvinnme
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.
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