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Practical Digital Signal Processing
1st Edition - October 21, 2003
Author: Edmund Lai
Language: English
eBook ISBN:9780080473840
9 7 8 - 0 - 0 8 - 0 4 7 3 8 4 - 0
The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on…Read more
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The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on the practical applications of DSP: implementation issues, tricks and pitfalls. Intuitive explanations and appropriate examples are used to develop a fundamental understanding of DSP theory, laying a firm foundation for the reader to pursue the matter further. The reader will develop a clear understanding of DSP technology in a variety of fields from process control to communications.
* Covers the use of DSP in different engineering sectors, from communications to process control* Ideal for a wide audience wanting to take advantage of the strong movement towards digital signal processing techniques in the engineering world * Includes numerous practical exercises and diagrams covering many of the fundamental aspects of digital signal processing
Engineers who need to gain a working knowledge of DSP applications, including communications and process control; professional engineers and students in engineering.
Cover image
Title page
Table of Contents
Titles in the series
Copyright
Preface
Chapter 1: Introduction
1.1 Benefits of processing signals digitally
1.2 Definition of some terms
1.3 DSP systems
1.4 Some application areas
1.5 Objectives and overview of the book
Chapter 2: Converting analog to digital signals and vice versa
2.1 A typical DSP system
2.2 Sampling
2.3 Quantization
2.4 Analog-to-digital converters
2.5 Analog reconstruction
2.6 Digital-to-analog converters
2.7 To probe further
Chapter 3: Time-domain representation of discrete-time signals and systems
3.1 Notation
3.2 Typical discrete-time signals
3.3 Operations on discrete-time signals
3.4 Classification of systems
3.5 The concept of convolution
3.6 Autocorrelation and cross-correlation of sequences
Chapter 4: Frequency-domain representation of discrete-time signals
4.1 Discrete Fourier series for discrete-time periodic signals
4.2 Discrete Fourier transform for discrete-time aperiodic signals
4.3 The inverse discrete Fourier transform and its computation
4.4 Properties of the DFT
4.5 The fast Fourier transform
4.6 Practical implementation issues
4.7 Computation of convolution using DFT
4.8 Frequency ranges of some natural and man-made signals
Chapter 10: Hardware and software development tools
10.1 DSP system design flow
10.2 Development tools
Binary encoding of quantization levels
Practical sessions
Index
No. of pages: 304
Language: English
Edition: 1
Published: October 21, 2003
Imprint: Newnes
eBook ISBN: 9780080473840
EL
Edmund Lai
Edmund Lai has a particular affinity for Digital Signal Processing (DSP) as a result of his lecturing activities and interest in this area at Edith Cowan University and the University of Western Australia. He has consulted widely to private industry and used his expertise in DSP algorithms to affect some novel solutions for various mineral processing industry problems. He currently is based in Singapore lecturing and consulting in digital signal processing.
Affiliations and expertise
Lai and Associates, Singapore
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