1. INTRODUCTION.
Overview of Digital Signal Processing. A Brief Introduction to
MATLAB�. Applications of Digital Signal Processing. Brief Overview
of the Book.
2. DISCRETE-TIME SIGNALS AND SYSTEMS.
Discrete-time Signals. Discrete Systems. Convolution. Difference
Equations.
3. THE DISCRETE-TIME FOURIER ANALYSIS.
The Discrete-time Fourier Transform (DTFT). The Properties of the
DTFT. The Frequency Domain Representation of LTI Systems. Sampling
and Reconstruction of Analog Signals.
4. THE z-TRANSFORM.
The Bilateral z-Transform. Important Properties of the z-Transform.
Inversion of the z-Transform. System Representation in the
z-Domain. Solutions of the Difference Equations.
5. THE DISCRETE FOURIER TRANSFORM.
The Discrete Fourier Series. Sampling and Reconstruction in the
z-Domain. The Discrete Fourier Transform. Properties of the
Discrete Fourier Transform. Linear Convolution Using the DFT. The
Fast Fourier Transform.
6. IMPLEMENTATION OF DISCRETE-TIME FILTERS.
Basic Elements. IIR Filter Structures. FIR Filter Structures.
Lattice Filter Structures. Overview of Finite-Precision Numerical
Effects. Representation of Numbers. The Process of Quantization and
Error Characterizations. Quantization of Filter Coefficients.
7. FIR FILTER DESIGN.
Preliminaries. Properties of Linear-phase FIR Filters. Window
Design Techniques. Optimal Equiripple Design Technique.
8. IIR FILTER DESIGN.
Some Preliminaries. Some Special Filter Types. Characteristics of
Prototype Analog Filters. Analog-to-Digital Filter Transformations.
Lowpass Filter Design Using MATLAB�. Frequency-band
Transformations.
9. SAMPLING RATE CONVERSION.
Introduction. Decimation by a Factor D. Interpolation by a Factor
I. Sampling Rate Conversion by a Rational Factor I/D. FIR Filter
Designs for Sampling Rate Conversion. FIR Filter Structures for
Sampling Rate Conversion.
10. ROUND-OFF EFFECTS IN DIGITAL FILTERS.
Analysis of A/D Quantization Noise. Round-off Effects in IIR
Digital Filters. Round-off Effects in FIR Digital Filters.
11. APPLICATIONS IN ADAPTIVE FILTERING.
LMS Algorithm for Coefficient Adjustment. System Identification of
System Modeling. Suppression of Narrowband Interference in a
Wideband Signal. Adaptive Line Enhancement. Adaptive Channel
Equalization.
12. APPLICATIONS IN COMMUNICATIONS
Pulse-Code Modulation. Differential PCM (DPCM). Adaptive PCM and
DPCM (ADPCM). Delta Modulation (DM). Linear Predictive Coding (LPC)
of Speech. Dual-tone Multifrequency (DTMF) Signals. Binary Digital
Communications. Spread-Spectrum Communications.
Dr. Vinay K. Ingle is an Associate Professor of Electrical and
Computer Engineering at Northeastern University. He received his
Ph.D. in electrical and computer engineering from Rensselaer
Polytechnic Institute in 1981. He has broad research experience and
has taught courses on topics including signal and image processing,
stochastic processes, and estimation theory. Dr. Ingle has
co-authored numerous higher level books including DSP LABORATORY
USING THE ADSP-2181 MICROPROCESSOR (Prentice Hall, 1991), DISCRETE
SYSTEMS LABORATORY (Brooks-Cole, 2000), STATISTICAL AND ADAPTIVE
SIGNAL PROCESSING (Artech House, 2005), and APPLIED DIGITAL SIGNAL
PROCESSING (Cambridge University Press, 2011). Affiliation:
University of California, San Diego and Northeastern University
Bio: Dr. John Proakis is an Adjunct Professor at the University of
California at San Diego and a Professor Emeritus at Northeastern
University. He was a faculty member at Northeastern University from
1969 through 1998 and held several academic positions including
Professor of Electrical Engineering, Associate Dean of the College
of Engineering and Director of the Graduate School of Engineering,
and Chairman of the Department of Electrical and Computer
Engineering. His professional experience and interests focus in
areas of digital communications and digital signal processing. He
is co-author of several successful books, including DIGITAL
COMMUNICATIONS, 5E (2008), INTRODUCTION TO DIGITAL SIGNAL
PROCESSING, 4E (2007); DIGITAL SIGNAL PROCESSING LABORATORY (1991);
ADVANCED DIGITAL SIGNAL PROCESSING (1992); DIGITAL PROCESSING OF
SPEECH SIGNALS (2000); COMMUNICATION SYSTEMS ENGINEERING, 2E
(2002); DIGITAL SIGNAL PROCESSING USING MATLAB V.4, 3E (2010);
CONTEMPORARY COMMUNICATION SYSTEMS USING MATLAB, 2E (2004);
ALGORITHMS FOR STATISTICAL SIGNAL PROCESSING (2002); FUNDAMENTALS
OF COMMUNICATION SYSTEMS (2005).
1. Introduction. 2. Discrete-Time Signals And Systems. 3. The Discrete-Time Fourier Analysis. 4. The Z-Transform. 5. The Discrete Fourier Transform. 6. Digital Filter Structures. 7. Fir Filter Design. 8. Iir Filter Design. 9. Sampling Rate Conversion. 10. Finite World-Length Effects.
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