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Fundamentals of Digital Signal Processing Using MATLAB

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ISBN-10: 0534391508

ISBN-13: 9780534391508

Edition: 2005

Authors: Robert J. Schilling, Sandra L. Harris

List price: $343.95
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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 extensive library of DSP functions, all computational examples that appear in the text, the text figures, solutions to selected problems, and online…    
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Book details

List price: $343.95
Copyright year: 2005
Publisher: Course Technology
Publication date: 10/4/2004
Binding: Mixed Media
Pages: 624
Size: 8.25" wide x 9.25" long x 1.50" tall
Weight: 3.344
Language: English

Sandra L. Harris is Associate Professor of Chemical Engineering at Clarkson University. Dr. Harris teaching interests include process control, thermodynamics, and biochemical engineering. Her research interests are centered on periodic processing, control of systems having varying dead times, and generation of input signals for efficient process identification.

Signal Processing Motivation
Signals and Systems
Signal Sampling
Signal Reconstruction
Prefilters and Postfilters
Conversion Circuits
The FDSP Toolbox
Software Applications
Chapter Summary
Discrete-Time System Analysis Motivation
Z-Transform Pairs
Z-Transform Properties
Inverse Z-Transform
Transfer Functions
Signal Flow Graphs
The Impulse Response and Convolution
Frequency Response
Software Applications
Chapter Summary
The DFT and Spectral Analysis Motivation
The Discrete-Time Fourier Transform
The Discrete Fourier Transform
DFT Properties
The Fast Fourier Transform
White Noise
Discrete-Time Frequency Response
Zero Padding
Power Density Spectrum Estimation
The Spectrogram
Software Applications
Chapter Summary
Convolution and Correlation Motivation
Fast Convolution
Fast Correlation
Extracting Periodic Signals from Noise
Software Applications
Chapter Summary
Filter Specifications and Structures Motivation
Filter Design Specifications
Linear-Phase Filters
Minimum-Phase and Allpass Filters
FIR Filter Realization Structures
IIR Filter Realization Structures
FIR Finite Word Length Effects
IIR Finite Word Length Effects
Software Applications
Chapter Summary
FIR Filter Design Motivation
Windowing Method
Frequency Sampling Method
Least Squares Method
Optimal Equiripple Method
Differentiators and Hilbert Transformers
Software Applications
Chapter Summary
Multirate Signal Processing Motivation
Integer Decimators and Interpolators
Rational Sampling Rate Converters
Multirate Filter Realization Structures
Subband Processing
Oversampling ADC
Oversampling DAC
Software Applications
Chapter Summary
IIR Filter Design Motivation
Filter Design by Pole-Zero Placement
Filter Design Parameters
Classical Analog Filters
Bilinear Transformation Method
Frequency Transformations
Software Applications
Chapter Summary
Adaptive Signal Processing Motivation
Mean Square Error
The Least Mean Square
Performance Analysis of the LMS Method
Modified LMS Methods
Adaptive FIR Filter Design
The Recursive Least Squares
Active Noise Control
Nonlinear System Identification
Software Applications
Chapter Summary
Problems Appendices:
MATLAB Workspace
Variables and Initialization
Mathematical Operators
Input and Output
Branching and Loops
Built-In Functions
User-Defined Functions
FDSP Toolbox Installation
Driver Module f_dsp
Chapter GUI Modules
FDSP Toolbox Functions
Transform Tables Fourier Series
Fourier Transform
Laplace Transform
Discrete-Time Fourier Transform
Mathematical Identifies Complex Numbers
Euler's Identity
Trigonometric Identities