book

Essential Guide to Digital Signal Processing, The

by D. Lee Fugal, Richard G. Lyons

May 2014

Intermediate to advanced

208 pages

4h 38m

English

Pearson

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The Phantom TechnologyWhat Is a Signal?Analog and Digital Signals?Digital Signal ProcessingWhat You Should Remember
What Is an Analog Signal?A Temperature Analog SignalAn Audio Analog SignalAn Electrical Analog SignalA Human Speech Analog SignalWhat You Should Remember
FrequencyThe Concept of SpectrumAnalog Signal SpectraWhat You Should Remember
What Is a Digital Signal?How Digital Signals Are GeneratedA Speech Digital SignalAn Example of Digital Signal ProcessingAnother Example of Digital Signal ProcessingTwo Important Aspects of Sampling Analog SignalsSample Rate ConversionWhat You Should Remember

Analog Signal Spectra—A Quick ReviewHow Sampling Affects the Spectra of Digital SignalsThe Spectrum of a Digital Sine Wave SignalThe Spectrum of a Digital Voice SignalThe Spectrum of a Digital Music SignalAnti-Aliasing FiltersAnalog-to-Digital Converter Output NumbersWhat You Should Remember
Computing Digital SpectraA Spectral Computation ExampleA Spectral Analysis ExampleWhat You Should Remember
The Fast Fourier Transform (FFT)—A Quick ReviewThe Continuous Wavelet Transform (CWT)What You Should Remember
Analog FilteringGeneric Filter TypesDigital FilteringWhat You Should Remember
Number SystemsBinary DataWhy Use Binary Numbers?Binary Numbers and Analog-to-Digital ConvertersWhat You Should Remember
Decibels Used to Describe Sound Power ValuesDecibels Used to Measure EarthquakesDecibels Used to Describe Signal AmplitudesDecibels Used to Describe Filters
AM Radio SignalsFM Radio SignalsComparing AM and FM Radio
Unsigned Binary Number FormatSign-Magnitude Binary Number FormatTwo’s Complement Binary Number FormatOffset Binary Number FormatAlternate Binary Number Notation

Overview

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.