Understanding Digital Signal Processing 3rd Edition
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Understanding Digital Signal Processing 3rd Edition

Understanding Digital Signal Processing 3rd Edition by Richard G. Lyons | PDF Free Download.

Author of Understanding Digital Signal Processing PDF

Richard Lyons

Richard is a consulting systems engineer and lecturer with Besser Associates in Mountain View, California. He has been the lead hardware engineer for numerous signal processing systems for both the National Security Agency (NSA) and Northrop Grumman Corp.

Lyons has taught DSP at the University of California Santa Cruz Extension and authored numerous articles on DSP. As an associate editor for the IEEE Signal Processing Magazine, he created edits and contributes to the magazine’s “DSP Tips & Tricks” column.

Understanding Digital Signal Processing Contents

  • Discrete Sequences And Systems
  • Periodic Sampling
  • The Discrete Fourier Transform
  • The Fast Fourier Transform
  • Finite Impulse Response Filters
  • Infinite Impulse Response Filters
  • Specialized Digital Networks And Filters
  • Quadrature Signals
  • The Discrete Hilbert Transform
  • Sample Rate Conversion
  • Signal Averaging
  • Digital Data Formats And Their Effects
  • Digital Signal Processing Tricks

Preface to Understanding Digital Signal Processing eBook

This book is an expansion of previous editions of Understanding Digital Signal Processing. Like those earlier editions, its goals are (1) to help beginning students understand the theory of digital signal processing (DSP) and (2) to provide practical DSP information, not found in other books, to help working engineers/scientists design and test their signal processing systems.

Each chapter of this book contains new information beyond that provided in earlier editions. It’s traditional at this point in the preface of a DSP textbook for the author to tell readers why they should learn DSP.

I don’t need to tell you how important DSP is in our modern engineering world. You already know that. I’ll just say that the future of electronics is DSP, and with this book, you will not be left behind. 

For Instructors

This third edition is appropriate as the text for a one- or two-semester undergraduate course in DSP.

It follows the DSP material I cover in my corporate training activities and a signal processing course I taught at the University of California Santa Cruz Extension.

To aid students in their efforts to learn DSP, this third edition provides additional explanations and examples to increase its tutorial value.

To test a student’s understanding of the material, homework problems have been included at the end of each chapter.

(For qualified instructors, a Solutions Manual is available from Prentice Hall.)

For Practicing Engineers

To help to work DSP engineers, the changes in this third edition include, but are not limited to, the following:

Practical guidance in building discrete differentiators, integrators, and matched filters

Descriptions of statistical measures of signals, variance reduction by way of averaging, and techniques for computing real-world signal-to-noise ratios (SNRs)

  • A significantly expanded chapter on sample rate conversion (multirate systems) and its associated filtering 
  • Implementing fast convolution (FIR filtering in the frequency domain)
  • IIR filter scaling
  • Enhanced material covering techniques for analyzing the behavior and performance of digital filters
  • Expanded descriptions of industry-standard binary number formats used in modern pro
  • cessing systems
  • Numerous additions to the popular “Digital Signal Processing Tricks” chapter
  • For Students

Learning the fundamentals, and how to speak the language, of digital signal processing does not require profound analytical skills or an extensive background in mathematics.

All you need is a little experience with elementary algebra, knowledge of what a sinewave is, this book, and enthusiasm. This may sound hard to believe, particularly if you’ve just flipped through the pages of this book and seen figures and equations that look rather complicated.

The content here, you say, looks suspiciously like material in technical journals and textbooks whose meaning has eluded you in the past. Well, this is not just another book on digital signal processing.

In this book, I provide a gentle, but thorough, explanation of the theory and practice of DSP. The text is not written so that you may understand the material, but so that you must understand the material.

I’ve attempted to avoid the traditional instructor-student relationship and have tried to make reading this book seem to like talking to a friend while walking in the park.

I’ve used just enough mathematics to help you develop a fundamental understanding of DSP theory and have illustrated that theory with practical examples.

I have designed the homework problems to be more than mere exercises that assign values to variables for the student to plug into some equation in order to compute a result.

Instead, the homework problems are designed to be as educational as possible in the sense of expanding on and enabling further investigation of specific aspects of DSP topics covered in the text.

Stated differently, the homework problems are not designed to induce “death by algebra,” but rather to improve your understanding of DSP.

Solving the problems helps you become proactive in your own DSP education instead of merely being an inactive recipient of DSP information.

The Journey

Learning digital signal processing is not something you accomplish; it’s a journey you take. When you gain an understanding of one topic, questions arise that cause you to investigate some other facet of digital signal processing.

Armed with more knowledge, you’re likely to begin exploring further aspects of digital signal processing much like those shown in the diagram on page xviii.

This book is your tour guide during the first steps of your journey. You don’t need a computer to learn the material in this book, but it would certainly help.

DSP simulation software allows the beginner to verify signal processing theory through the time-tested trial and error process.

In particular, software routines that plot signal data, perform the fast Fourier transform, and analyze digital filters would be very useful. As you go through the material in this book, don’t be discouraged if your understanding comes slowly.

As the Greek mathematician, Menaechmus curtly remarked to Alexander the Great, when asked for a quick explanation of the mathematics, “There is no royal road to mathematics.”

Menaechmus was confident in telling Alexander the only way to learn mathematics is through careful study.

The same applies to digital signal processing. Also, don’t worry if you need to read some of the material twice.

While the concepts in this book are not as complicated as quantum physics, as mysterious as the lyrics of the song “Louie Louie,” or as puzzling as the assembly instructions of a metal shed, they can become a little involved. They deserve your thoughtful attention.

So, go slowly and read the material twice if necessary; you’ll be glad you did. If you show persistence, to quote Susan B. Anthony, “Failure is impossible.”

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