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Essential Guide to Digital Signal Processing, The

Essential Guide to Digital Signal Processing, The

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Description

  • Copyright 2014
  • Dimensions: 7" x 9"
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-380474-7
  • ISBN-13: 978-0-13-380474-4

  • How signal processing works: clear, simple explanations in plain English
  • Breakthrough DSP applications: from smartphones to healthcare and beyond
  • Covers both digital and analog signals
  • An indispensable resource for tech writers, marketers, managers, and other nonengineers

The Complete DSP Guide for Businesspeople and Nontechnical Professionals

Digital signal processing (DSP) technology is everywhere–each time you use a smartphone, tablet, or computer; play an MP3; watch a digital TV or DVD; get GPS directions; play a video game; take a digital photo; or even have an MRI, DSP technology is at work.

Now, for the first time, The Essential Guide to Digital Signal Processing offers readers of all levels simple, plain-English explanations of digital and analog signals and modern DSP applications. Whether you sell technology, write about it, manage it, fix it, or invest in it, this is the book for you.

Using everyday examples and simple diagrams, two leading DSP consultants and instructors completely demystify signal processing. You’ll discover what digital signals are, how they’re generated, and how they’re changing your life.

You’ll learn all you need to know about digital signal collection, filtering, analysis, and more, and how DSP works in today’s most exciting devices and applications.

Coverage includes

  • How engineers understand and work with analog signal spectra and frequencies
  • How digital signals are generated and used in modern electronic devices
  • The surprising things that happen when analog signals are converted to digital form
  • How (and why) engineers compute digital signal spectra with Fourier transforms
  • What wavelets are and how they’re used everywhere, from medicine to the camera in your smartphone
  • How digital filters are used in DSP applications
  • Cutting-edge DSP applications, from automatic music-tuning software to medical EKG signal analysis
  • A comprehensive glossary of signal processing terminology and acronyms

You’ll gain a clear, conceptual understanding of all key signal processing operations and vocabulary. That means you’ll understand much of the “magic” built into today’s newest devices, and you’ll be ready to succeed in virtually any nontechnical role that requires DSP knowledge.

Sample Content

Table of Contents

Preface        xi


Chapter 1: What Is Digital Signal Processing?         1

The Phantom Technology   1

What Is a Signal?   2

Analog and Digital Signals   3

Digital Signal Processing   3

What You Should Remember   5

Chapter 2: Analog Signals        7

What Is an Analog Signal?   7

A Temperature Analog Signal   7

An Audio Analog Signal   8

An Electrical Analog Signal   10

A Human Speech Analog Signal   21

What You Should Remember   22

Chapter 3: Frequency and the Spectra of Analog Signals         25

Frequency   25

The Concept of Spectrum   29

Analog Signal Spectra   30

What You Should Remember   42

Chapter 4: Digital Signals and How They Are Generated         43

What Is a Digital Signal?   43

How Digital Signals Are Generated   48

The Sample Rate of a Digital Signal   52

A Speech Digital Signal   53

An Example of Digital Signal Processing   55

Another Example of Digital Signal Processing   57

Two Important Aspects of Sampling Analog Signals   61

Sample Rate Conversion   63

What You Should Remember   66

Chapter 5: Sampling and the Spectra of Digital Signals         67

Analog Signal Spectra–A Quick Review   67

How Sampling Affects the Spectra of Digital Signals   71

The Spectrum of a Digital Sine Wave Signal   82

The Spectrum of a Digital Voice Signal   85

The Spectrum of a Digital Music Signal 86

Anti-Aliasing Filters   89

Analog-to-Digital Converter Output Numbers   93

What You Should Remember   94

Chapter 6: How We Compute Digital Signal Spectra         95

Computing Digital Spectra   95

A Spectral Computation Example   97

A Spectral Analysis Example   103

What You Should Remember   106

Chapter 7: Wavelets         107

The Fast Fourier Transform (FFT)–A Quick Review   107

The Continuous Wavelet Transform (CWT)   109

What You Should Remember   117

Chapter 8: Digital Filters         119

Analog Filtering   119

Generic Filter Types   121

Digital Filtering   122

What You Should Remember   126

Chapter 9: Binary Numbers         127

Number Systems   128

Binary Data   133

Why Use Binary Numbers?   134

Binary Numbers and Analog-to-Digital Converters   136

What You Should Remember   139

Appendix A: Scientific Notation         141

Appendix B: Decibels         145

Decibels Used to Describe Sound Power Values   146

Decibels Used to Measure Earthquakes   147

Decibels Used to Describe Signal Amplitudes   149

Decibels Used to Describe Filters   153

Appendix C: AM and FM Radio Signals         155

AM Radio Signals   155

FM Radio Signals   157

Comparing AM and FM Radio   159

Appendix D: Binary Number Formats         161

Unsigned Binary Number Format   161

Sign-Magnitude Binary Number Format   162

Two’s Complement Binary Number Format   163

Offset Binary Number Format   165

Alternate Binary Number Notation   166

Glossary         169

Index         185

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