Fundamentals of Digital Signal Processing Using MATLAB�

ISBN-10: 084006909X

ISBN-13: 9780840069092

Edition: 2nd 2012

List price: $212.95
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Book details

List price: $212.95
Edition: 2nd
Copyright year: 2012
Publisher: Course Technology
Publication date: 1/1/2011
Binding: Hardcover
Pages: 784
Size: 8.00" wide x 10.00" long x 1.25" 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 and System Analysis
Signal Processing
Motivation
Signals and Systems
Sampling of Continuous-time Signals
Reconstruction of Continuous-time Signals
Prefilters and Postfilters
DAC and ADC Circuits
The FDSP Toolbox
GUI Software and Case Studies
Chapter Summary
Problems
Discrete-Time Systems in the Time Domain
Motivation
Discrete-time Signals
Discrete-time Systems
Difference Equations
Block Diagrams
The Impulse Response
Convolution
Correlation
Stability in the Time Domain
GUI Software and Case Studies
Chapter Summary
Problems
Discrete-Time Systems in the Frequency Domain
Motivation
Z-transform Pairs
Z-transform Properties
Inverse Z-transform
Transfer Functions
Signal Flow Graphs
Stability in the Frequency Domain
Frequency Response
System Identification
GUI Software and Case Studies
Chapter Summary
Problems
Fourier Transforms and Signal Analysis
Motivation
Fourier Series
Discrete-time Fourier Transform (DTFT)
Discrete Fourier Transform (DFT)
Fast Fourier Transform (FFT)
Fast Convolution and Correlation
White Noise
Auto-correlation
Zero Padding and Spectral Resolution
Spectrogram
Power Density Spectrum Estimation
GUI Software and Case Studies
Chapter Summary
Problems
Digital Filter Design
Filter Design Specifications
Motivation
Frequency-selective Filters
Linear-phase and Zero-phase Filters
Minimum-phase and Allpass Filters
Quadrature Filters
Notch Filters and Resonators
Narrowband Filters and Filter Banks
Adaptive Filters
GUI Software and Case Study
Chapter Summary
Problems
Fir Filter Design
Motivation
Windowing Method
Frequency-sampling Method
Least-squares Method
Equiripple Filters
Differentiators and Hilbert Transformers
Quadrature Filters
Filter Realization Structures
Finite Word Length Effects
GUI Software and Case Study
Chapter Summary
Problems
Iir Filter Design
Motivation
Filter Design by Pole-zero Placement
Filter Design Parameters
Classical Analog Filters
Bilinear Transformation Method
Frequency Transformations
Filter Realization Structures
Finite Word Length Effects
GUI Software and Case Study
Chapter Summary
Problems
Advanced Signal Processing
Multirate Signal Processing
Motivation
Integer Sampling Rate Converters
Rational Sampling Rate Converters
Multirate Filter Realization Structures
Narrowband Filters and Filter Banks
A Two-channel QMF Bank
Oversampling ADC
Oversampling DAC
GUI Software and Case Study
Chapter Summary
Problems
Adaptive Signal Processing
Motivation
Mean Square Error
The Least Mean Square (LMS) Method
Performance Analysis of the LMS Method
Modified LMS Methods
Adaptive FIR Filter Design
The Recursive Least Squares (RLS) Method
Active Noise Control
Nonlinear System Identification
GUI Software and Case Study
Chapter Summary
Problems
References and Further Reading Appendices
Transform Tables
Mathematical Identities
FDSP Toolbox Functions
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