Download Understanding Digital Signal Processing Third Edition By Richard G. Lyons

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Introduction

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.

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.)

Table of Contents

Chapter No 1 Discrete Sequences And Systems
Chapter No 2 Periodic Sampling
Chapter No 3 The Discrete Fourier Transform
Chapter No 4 The Fast Fourier Transform
Chapter No 5 Finite Impulse Response Filters
Chapter No 6 Infinite Impulse Response Filters
Chapter No 7 Specialized Digital Networks And Filters
Chapter No 8 Quadrature Signals
Chapter No 9 The Discrete Hilbert Transform
Chapter No 10 Sample Rate Conversion
Chapter No 11 Signal Averaging
Chapter No 12 Digital Data Formats And Their Effects
Chapter No 13 Digital Signal Processing Tricks