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

Content preview from Essential Guide to Digital Signal Processing, The

6. How We Compute Digital Signal Spectra

Computing Digital Spectra

One of the most important aspects of digital signal processing is the computation, and display on a computer screen, of the spectral amplitude of a digital signal as shown in Figure 6-1. The ability to examine the spectrum of a digital signal is as crucial to a signal processing engineer as a microscope is to a medical researcher.

Figure 6-1 Computing and displaying the spectrum of a digital signal.

Today, there are two primary methods available to compute digital signal spectra, and those two procedures have the fancy names of the discrete Fourier transform and the fast Fourier ...