Digital Signal Processing

Name: Digital Signal Processing
Price: 96 USD
Availability: InStock
ISBN: 9780443273353

Fundamentals, Applications, and Deep Learning

by Li Tan, Jean Jiang

4th Edition

Publisher: Academic Press

(0 reviews)

Compare Prices

VitalSourceLifetime Access$96.00 AmazonKindle$76.80 Best PriceAlibris180 Day Rental$48.00

Book Details

Print ISBN	9780443273353
eText ISBN	9780443273360
Publisher	Academic Press
Publishing Year	2025
Edition	4th Edition
Language	English
Pages	1032

Digital Signal Processing, 4th Edition, by Li Tan and Jean Jiang, outlines essential signal processing concepts while building practical technical skills for engineering careers. Published by Academic Press, this textbook covers core theoretical subjects, including signal sampling, quantization, discrete-time signals and systems, and digital filter structures.

The text structures its main technical concepts around discrete Fourier transforms, signal spectra, the z-transform, finite impulse response filter design, and infinite impulse response filter design. Mathematical complexity is kept modest across these chapters to help students learn foundational concepts more easily. In addition, the volume illustrates how algorithmic designs translate into practical hardware and software implementations.

This work is written primarily for junior or senior undergraduate students in electrical engineering and ECE programs enrolled in an introductory DSP course. It also functions as a structured reference for practicing engineers and students outside engineering disciplines who require a grounded treatment of fundamental processing methods.

Chapter 1: Introduction to Digital Signal Processing
Chapter 2: Signal Sampling and Quantization
Chapter 3: Digital Signals and Systems
Chapter 4: The z-Transform
Chapter 5: Discrete Fourier Transform and Signal Spectra
Chapter 6: Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations
Chapter 7: Finite Impulse Response Filter Design
Chapter 8: Infinite Impulse Response Filter Design
Chapter 9: Adaptive Filters and Applications
Chapter 10: Waveform Quantization and Compression
Chapter 11: Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Signals
Chapter 12: Subband and Wavelet-Based Coding
Chapter 13: Image Processing Basics
Chapter 14: Digital Signal Processing for Artificial Intelligence
Chapter 15: Hardware and Software for Digital Signal Processors
Chapter Appendix A: Introduction to the MATLAB Environment
Chapter Appendix B: Review of Analog Signal Processing Basics
Chapter Appendix C: Normalized Butterworth and Chebyshev Functions
Chapter Appendix D: Sinusoidal Steady-State Response of Digital Filters
Chapter Appendix E: Filter Design Equations by Frequency Sampling Design Method
Chapter Appendix F: Wavelet Analysis and Synthesis Equations
Chapter Appendix G: Review of Discrete-Time Random Signals
Chapter Appendix H: Some Useful Mathematical Formulas