Fundamentals of Digital Signal Processing Using MATLAB (with CD-ROM), 1st Edition

  • Robert J. Schilling Clarkson University
  • Sandra L. Harris Clarkson University
  • ISBN-10: 0534391508
  • ISBN-13: 9780534391508
  • 624 Pages Hardcover 
  • © 2005 | Published
  • College Bookstore Wholesale Price = $211.50 
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About The Solution

Overview

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 help documentation. Using the interactive GUI modules, students can explore, compare, and directly experience the effects of signal processing techniques without any need for programming.


Additional Product Information

Features/Benefits

  • The Fundamentals of Digital Signal Processing GUI modules and toolbox functions implement the signal processing techniques discussed in the chapters.
  • All of the course software( FDSP Toolbox), including examples, figures, solutions to selected problems, and online documentation, is easily accessed with a single menu-based driver module.
  • The course software uses the Student Version of MATLAB; no other optional toolboxes are required.
  • Each chapter starts with a "Motivation" section that introduces one or more practical problems that can be solved using techniques covered in the chapter.
  • Important terms with explicit definitions are set apart for convenient reference.
  • Key results are stated as theorems in order to highlight their significance.
  • Detailed algorithms summarize the steps used to implement important design procedures.
  • Numerous examples are provided, including techniques for synthesizing musical sounds, and methods for producing special sound effects.
  • Each chapter features a "Software Applications" section that introduces a GUI module that allows students to explore chapter concepts and techniques without any need for programming.
  • The "Software Applications" section also includes a detailed illustration of a MATLAB solution to a case study example of a practical application of signal processing.
  • Each chapter concludes with a wealth of homework problems of different types. "Analysis Problems" can be done by hand or with a calculator, "GUI Simulation Problems" allow the student to investigate signal processing techniques without programming, while "Computation Problems" require the student to write MATLAB programs that apply the signal processing techniques discussed in the chapter.
  • The Fundamentals of Digital Signal Processing GUI modules and toolbox functions implement the signal processing techniques discussed in the chapters.
  • All of the course software( FDSP Toolbox), including examples, figures, solutions to selected problems, and online documentation, is easily accessed with a single menu-based driver module.

Table of Contents


1. Signal Processing
Motivation / Signals and Systems / Signal Sampling / Signal Reconstruction / Prefilters and Postfilters / Conversion Circuits / The FDSP Toolbox / Software Applications / Chapter Summary / Problems
2. Discrete-Time System Analysis
Motivation / Z-Transform Pairs / Z-Transform Properties / Inverse Z-Transform / Transfer Functions / Signal Flow Graphs / The Impulse Response and Convolution / Stability / Frequency Response / Software Applications / Chapter Summary / Problems
3. The DFT and Spectral Analysis
Motivation / The Discrete-Time Fourier Transform (DTFT). The Discrete Fourier Transform (DFT). DFT Properties. The Fast Fourier Transform (FFT). White Noise. Discrete-Time Frequency Response. Zero Padding. Power Density Spectrum Estimation. The Spectrogram. Software Applications. Chapter Summary. Problems.
4. Convolution and Correlation
Motivation / Convolution / Fast Convolution / Cross-Correlation / Fast Correlation / Auto-Correlation / Extracting Periodic Signals from Noise / Software Applications / Chapter Summary / Problems
5. 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. Problems.
6. FIR Filter Design
Motivation / Windowing Method / Frequency Sampling Method / Least Squares Method / Optimal Equiripple Method / Differentiators and Hilbert Transformers / Software Applications / Chapter Summary / Problems
7. 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 / Problems
8. 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 / Problems
9. 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 / Software Applications / Chapter Summary / Problems
APPENDICES:
1. MATLAB
Workspace / Variables and Initialization / Mathematical Operators / Input and Output / Branching and Loops / Built-In Functions / User-Defined Functions / GUIs
2. FDSP Toolbox
Installation / Driver Module f_dsp / Chapter GUI Modules / FDSP Toolbox Functions
3. Transform Tables
Fourier Series / Fourier Transform / Laplace Transform / Z-Transform / Discrete-Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT)
4. Mathematical Identifies
Complex Numbers / Euler's Identity / Trigonometric Identities / Inequalities

Meet the Author

About the Author

Robert J. Schilling

Robert J. Schilling is Professor of Electrical and Computer Engineering at Clarkson University. Dr. Schilling's teaching interests include digital signal processing, control systems, robotics, nonlinear systems, computer graphics, and C++ and MATLAB programming. His research interests include adaptive signal processing, nonlinear system identification, active noise control, and control of robotic manipulators.

Sandra L. Harris

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.

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