Essential Guide to Digital Signal Processing, Rough Cuts, The
- By Richard G. Lyons, D. Lee Fugal
- Published Apr 2, 2014 by Pearson. Part of the Essential Guide Series series.
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Description
- Copyright 2014
- Dimensions: 7" x 9"
- Pages: 208
- Edition: 1st
- Rough Cuts
- ISBN-10: 0-13-380475-5
- ISBN-13: 978-0-13-380475-1
This is the Rough Cut version of the printed book.
- 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 Sho
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