Digital Signal Processing - 1st Edition

Digital Signal Processing

1st Edition

Fundamentals and Applications

Authors: Li Tan Li Tan
Imprint: Academic Press
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Table of Contents


About the Author

Chapter 1: Introduction to Digital Signal Processing


1.1 Basic Concepts of Digital Signal Processing

1.2 Basic Digital Signal Processing Examples in Block Diagrams

1.3 Overview of Typical Digital Signal Processing in Real-World Applications

1.4 Digital Signal Processing Applications

1.5 Summary

Chapter 2: Signal Sampling and Quantization


2.1 Sampling of Continuous Signal

2.2 Signal Reconstruction

2.3 Analog-to-Digital Conversion, Digital-to-Analog Conversion, and Quantization

2.4 Summary

2.5 MATLAB Programs

2.6 Problems

Chapter 3: Digital Signals and Systems

3.1 Digital Signals

3.2 Linear Time-Invariant, Causal Systems

3.3 Difference Equations and Impulse Responses

3.4 Bounded-in-and-Bounded-out Stability

3.5 Digital Convolution

3.6 Summary

3.7 Problems

Chapter 4: Discrete Fourier Transform and Signal Spectrum

4.1 Discrete Fourier Transform

4.2 Amplitude Spectrum and Power Spectrum

4.3 Spectral Estimation Using Window Functions

4.4 Application to Speech Spectral Estimation

4.5 Fast Fourier Transform

4.6 Summary

4.7 Problems

Chapter 5: The z-Transform

5.1 Definition

5.2 Properties of the z-Transform

5.3 Inverse z-Transform

5.4 Solution of Difference Equations Using the z-Transform

5.5 Summary

5.6 Problems

Chapter 6: Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations

6.1 The Difference Equation and Digital Filtering

6.2 Difference Equation and Transfer Function

6.3 The z-Plane Pole-Zero Plot and Stability

6.4 Digital Filter Frequency Response

6.5 Basic Types of Filtering

6.6 Realization of Digital Filters



This book will enable electrical engineers and technicians in the fields of the biomedical, computer, and electronics engineering, to master the essential fundamentals of DSP principles and practice. Coverage includes DSP principles, applications, and hardware issues with an emphasis on applications. Many instructive worked examples are used to illustrate the material and the use of mathematics is minimized for easier grasp of concepts. In addition to introducing commercial DSP hardware and software, and industry standards that apply to DSP concepts and algorithms, topics covered include adaptive filtering with noise reduction and echo cancellations; speech compression; signal sampling, digital filter realizations; filter design; multimedia applications; over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC.

Key Features

Covers DSP principles and hardware issues with emphasis on applications and many worked examples Website with MATLAB programs for simulation and C programs for real-time DSP *End of chapter problems are helpful in ensuring retention and understanding of what was just read


Electrical engineers and technicians designing and building hardware and software for DSP systems


Academic Press
eBook ISBN:

About the Authors

Li Tan Author

Affiliations and Expertise

Associate Professor, Electrical Engineering, Purdue University Northwest

Li Tan Author

Affiliations and Expertise

Associate Professor, Electrical Engineering, Purdue University Northwest