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Fundamentals of Digital Signal Processing Using MATLAB (with CD-ROM)

ISBN: 9780534391508 | 0534391508
Edition: 1st
Format: Hardcover
Publisher: CL Engineering
Pub. Date: 10/4/2004

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SummaryTable of Contents
This innovative text and CD-ROM focuses on the fundamentals of digital signal processing with an emphasis on practical applications. In order to motivate students, many of the examples illustrate the processing of speech and music. This theme is also a focus of the course software that features facilities for recording and playing sound on a standard PC. The accompanying CD-ROM contains a comprehensive MATLAB software package called the Fundamentals of Digital Signal Processing (FDSP) toolbox. The FDSP toolbox includes chapter GUI modules, an e... MORE
Signal Processing
1(76)
Motivation
2(7)
Digital and Analog Processing
... MORE(2)
Total Harmonic Distortion (THD)
5(1)
A Notch Filter
6(1)
Active Noise Control
7(2)
Signals and Systems
9(12)
Signal Classification
9(6)
System Classification
15(6)
Signal Sampling
21(7)
Sampling as Modulation
21(3)
Aliasing
24(4)
Signal Reconstruction
28(7)
Reconstruction Formula
28(2)
Zero-order Hold
30(5)
Prefilters and Postfilters
35(8)
Anti-aliasing Filter
36(4)
Anti-imaging Filter
40(3)
Conversion Circuits
43(8)
Digital-to-analog Conversion (DAC)
43(2)
Analog-to-digital Conversion (ADC)
45(6)
The FDSP Toolbox
51(9)
Driver Module: f_dsp
52(1)
GUI Modules
52(4)
Toolbox Functions
56(2)
Toolbox Help
58(2)
Software Applications
60(6)
GUI Module: g_sample
60(2)
GUI Module: g_reconstruct
62(1)
Anti-aliasing Filter Design
62(4)
Chapter Summary
66(3)
Problems
69(8)
Discrete-time System Analysis
77(91)
Motivation
78(4)
Home Mortgage
79(1)
Satellite Attitude Control
79(2)
Running Average Filter
81(1)
Z-transform Pairs
82(8)
Z-transform Properties
90(5)
Linearity Property
90(1)
Delay Property
90(1)
Z-scale Property
91(1)
Time Multiplication Property
92(1)
Initial and Final Value Theorems
93(2)
Inverse Z-transform
95(8)
Synthetic Division Method
95(2)
Partial Fraction Method
97(2)
Residue Method
99(4)
Transfer Functions
103(9)
The Transfer Function
103(2)
Zero-state Response
105(2)
Poles, Zeros, and Modes
107(3)
DC Gain
110(2)
Signal Flow Graphs
112(4)
The Impulse Response and Convolution
116(7)
Impulse Response
116(2)
Convolution
118(3)
FIR and IIR Systems
121(2)
Stability
123(9)
BIBO Stable
123(5)
The Jury Test
128(4)
Frequency Response
132(10)
Sinusoidal Inputs
135(3)
Periodic Inputs
138(4)
Software Applications
142(15)
GUI Module: g_system
142(3)
Home Mortgage
145(4)
Satellite Attitude Control
149(4)
The Fibonacci Sequence and the Golden Ratio
153(4)
Chapter Summary
157(2)
Problems
159(9)
The DFT and Spectral Analysis
168(92)
Motivation
169(5)
Fourier Series
170(1)
DC Wall Transformer
171(1)
Frequency Response
172(2)
The Discrete-time Fourier Transform (DTFT)
174(5)
The Discrete Fourier Transform (DFT)
179(8)
Roots of Unity
180(2)
Matrix Formulation
182(3)
Signal Spectra
185(2)
DFT Properties
187(8)
Linearity Property
187(1)
Periodic Property
188(1)
Symmetry Property
188(2)
Circular Shift Property
190(2)
Reflection Property
192(1)
Parseval's Theorem
193(2)
The Fast Fourier Transform (FFT)
195(9)
Decimation in Time FFT
196(5)
FFT Computational Effort
201(2)
Alternative FFT Implementations
203(1)
White Noise
204(8)
Uniform White Noise
204(4)
Gaussian White Noise
208(4)
Discrete-time Frequency Response
212(5)
Zero Padding
217(5)
Power Density Spectrum Estimation
222(11)
Bartlett's Method
223(5)
Welch's Method
228(5)
The Spectrogram
233(3)
Software Applications
236(10)
GUI Module: g_spectra
236(3)
Signal Detection
239(2)
Distortion Due to Clipping
241(5)
Chapter Summary
246(3)
Problems
249(11)
Convolution and Correlation
260(70)
Motivation
261(5)
Modeling the Vocal Tract
262(2)
Range Measurement with Radar
264(2)
Convolution
266(10)
Linear Convolution
266(2)
Circular Convolution
268(3)
Zero Padding
271(1)
Deconvolution
272(2)
Polynomial Arithmetic
274(2)
Fast Convolution
276(9)
Fast Linear Convolution
276(4)
Fast Block Convolution
280(5)
Cross-correlation
285(4)
Fast Correlation
289(7)
Circular Cross-correlation
289(2)
Fast Linear Cross-correlation
291(5)
Auto-correlation
296(4)
Auto-correlation of White Noise
297(1)
Power Density Spectrum
298(2)
Extracting Periodic Signals from Noise
300(6)
Estimating the Period of a Noisy Periodic Signal
301(2)
Extracting a Periodic Signal from Noise
303(3)
Software Applications
306(9)
GUI Module: g_correlate
306(3)
Echo Detection
309(3)
Speech Analysis and Pitch
312(3)
Chapter Summary
315(5)
Problems
320(10)
Filter Specifications and Structures
330(97)
Motivation
331(6)
Filter Design Specifications
332(1)
Filter Realization Structures
333(4)
Filter Design Specifications
337(9)
Linear Design Specifications
338(5)
Logarithmic Design Specifications (dB)
343(3)
Linear-phase Filters
346(6)
Group Delay
346(3)
Linear-phase Zeros
349(3)
Minimum-phase and Allpass Filters
352(9)
Minimum-phase Filters
352(4)
Allpass Filters
356(5)
FIR Filter Realization Structures
361(8)
Direct Forms
361(2)
Cascade Form
363(3)
Lattice Form
366(3)
IIR Filter Realization Structures
369(11)
Direct Forms
370(3)
Parallel Form
373(4)
Cascade Form
377(3)
FIR Finite Word Length Effects
380(14)
Binary Number Representation
381(1)
Input Quantization Error
382(4)
Coefficient Quantization Error
386(4)
Roundoff Error, Overflow, and Scaling
390(4)
IIR Finite Word Length Effects
394(12)
Coefficient Quantization Error
395(3)
Roundoff Error, Overflow, and Scaling
398(5)
Limit Cycles
403(3)
Software Applications
406(7)
GUI Module: g_filters
406(2)
Highpass Elliptic Filter
408(5)
Chapter Summary
413(3)
Problems
416(11)
FIR Filter Design
427(69)
Motivation
428(5)
First-order Differentiator
429(1)
Second-order Differentiator
430(1)
Signal-to-noise Ratio
431(2)
Windowing Method
433(14)
Truncated Impulse Response
434(4)
Windowing
438(9)
Frequency-sampling Method
447(7)
Frequency Sampling
447(2)
Transition-band Optimization
449(5)
Least-squares Method
454(4)
Optimal Equiripple FIR Filters
458(10)
Minimax Error Criterion
458(3)
Parks-McClellan Algorithm
461(7)
Differentiators and Hilbert Transformers
468(7)
Differentiators
468(4)
Hilbert Transformers
472(3)
Software Applications
475(9)
GUI Module: g_fir
475(2)
Bandstop Filter Design: A Comparison
477(7)
Chapter Summary
484(2)
Problems
486(10)
Analysis
486(3)
GUI Simulation
489(3)
Computation
492(4)
Multirate Signal Processing
496(58)
Motivation
497(4)
Narrowband Filter Banks
497(2)
Delay Systems
499(2)
Integer Sampling Rate Converters
501(6)
Sampling Rate Decimator
501(2)
Sampling Rate Interpolator
503(4)
Rational Sampling Rate Converters
507(5)
Single-stage Converters
507(3)
Multistage Converters
510(2)
Multirate Filter Realization Structures
512(5)
Polyphase Interpolator
512(4)
Polyphase Decimator
516(1)
Subband Processing
517(10)
Narrowband Filters
517(2)
Filter Banks
519(8)
Oversampling ADC
527(4)
Oversampling DAC
531(4)
Software Applications
535(7)
GUI Module: g_multirate
535(2)
Sampling Rate Converter (CD to DAT)
537(5)
Chapter Summary
542(3)
Problems
545(9)
IIR Filter Design
554(70)
Motivation
555(6)
Tunable Plucked-string Filter
555(3)
Colored Noise
558(3)
Filter Design by Pole-zero Placement
561(10)
Resonator
561(3)
Notch Filter
564(3)
Comb Filters
567(4)
Filter Design Parameters
571(4)
Classical Analog Filters
575(14)
Butterworth Filters
575(5)
Chebyshev-I Filters
580(4)
Chebyshev-II Filters
584(2)
Elliptic Filters
586(3)
Bilinear-transformation Method
589(7)
Frequency Transformations
596(7)
Analog Frequency Transformations
596(4)
Digital Frequency Transformations
600(3)
Software Applications
603(8)
GUI Module: g_iir
603(2)
Reverb Filter
605(6)
Chapter Summary
611(2)
Problems
613(11)
Adaptive Signal Processing
624(103)
Motivation
625(4)
System Identification
626(1)
Channel Equalization
627(1)
Signal Prediction
628(1)
Noise cancellation
628(1)
Mean Square Error
629(8)
Adaptive Transversal Filters
629(2)
Cross-correlation Revisited
631(1)
Mean Square Error
632(5)
The Least Mean Square (LMS) Method
637(5)
Performance Analysis of LMS Method
642(10)
Step Size
642(4)
Convergence Rate
646(2)
Excess Mean Square Error
648(4)
Modified LMS Methods
652(10)
Normalized LMS Method
652(3)
Correlation LMS Method
655(3)
Leaky LMS Method
658(4)
Adaptive FIR Filter Design
662(7)
Pseudo-filters
662(4)
Linear-phase Pseudo-filters
666(3)
The Recursive Least Squares (RLS) Method
669(7)
Performance Criterion
669(2)
Recursive Formulation
671(5)
Active Noise Control
676(12)
The Filtered-x LMS Method
677(2)
Secondary-path Identification
679(3)
Signal-synthesis Method
682(6)
Nonlinear System Identification
688(15)
Nonlinear Discrete-time Systems
688(1)
Grid Points
689(3)
Radial Basis Functions
692(5)
Adaptive RBF Networks
697(6)
Software Applications
703(5)
GUI Module: g_adapt
703(2)
Identification of a Chemical Process
705(3)
Chapter Summary
708(3)
Problems
711(16)
A Elements of Matlab
727(12)
Workspace
727(1)
Variables and Initialization
727(2)
Mathematical Operators
729(1)
Scalar Operators
729(1)
Array Operators
729(1)
Matrix Operators
729(1)
Input and Output
730(1)
Keyboard and Screen
730(1)
MAT-Files
730(1)
Branching and Loops
730(2)
Relational and Logical Expressions
730(1)
Branching
731(1)
Loops
732(1)
Built-in Functions
732(1)
Graphical Output
733(2)
User-defined Functions
735(2)
GUIs
737(2)
B FDSP Toolbox
739(18)
Installation
739(1)
Driver Module: f_dsp
740(2)
Chapter GUI Modules
742(1)
FDSP Toolbox Functions
743(14)
C Transform Tables
757(9)
Fourier Series
757(2)
Fourier Transform
759(2)
Laplace Transform
761(2)
Z-transform
763(1)
Discrete-time Fourier Transform (DTFT)
764(1)
Discrete Fourier Transform (DFT)
765(1)
D Mathematical Identities
766(3)
Complex Numbers
766(1)
Euler's Identity
766(1)
Trigonometric Identities
766(1)
Inequalities
767(2)
References and Further Reading769(6)
Index775

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