- 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.
- (source: Nielsen Book Data)

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. .

(source: Nielsen Book Data)