Digital Signal Processing: A Practical Guide for Engineers and Scientists

Front Cover
Newnes, 2003 - Computers - 650 pages
  • Covers all major DSP topics
  • Full of insider information and shortcuts
  • Basic techniques and algorithms explained without complex numbers

Written by a working scientist/engineer who has used DSP in his inventions and designs, Digital Signal Processing will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

This immensely practical and thorough book has been written for engineers and scientists in a wide variety of fields, with the goal of explaining DSP techniques while avoiding the barriers of abstract theory and detailed mathematics, enabling readers to put the powerful tools of DSP to work in their research and designs. All techniques are explained through analogies, not simply proven to be true through mathematical derivations. The math is included where it is needed, but it is not used as the primary means of conveying the information. The illustrations are profuse and help to support the text in creative ways. Numerous detailed applications examples from many fields bring the theory to life. The coverage is thorough, detailed, and enlightening.

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples.

 

Contents

Chapter 1 The Breadth and Depth of DSP
1
Chapter 2 Statistics Probability and Noise
11
Chapter 3 ADC and DAC
35
Chapter 4 DSP Software
67
Chapter 5 Linear Systems
87
Chapter 6 Convolution
107
Chapter 7 Properties of Convolution
123
Chapter 8 The Discrete Fourier Transform
141
Chapter 19 Recursive Filters
319
Chapter 20 Chebyshev Filters
333
Chapter 21 Filter Comparison
343
Chapter 22 Audio Processing
351
Chapter 23 Image Formation Display
373
Chapter 24 Linear Image Processing
397
Chapter 25 Special Imaging Techniques
423
Chapter 26 Neural Networks and More
451

Chapter 9 Applications of the DFT
169
Chapter 10 Fourier Transform Properties
185
Chapter 11 Fourier Transform Pairs
209
Chapter 12 The Fast Fourier Transform
225
Chapter 13 Continuous Signal Processing
243
Chapter 14 Introduction to Digital Filters
261
Chapter 15 Moving Average Filters
277
Chapter 16 WindowedSinc Filters
285
Chapter 17 Custom Filters
297
Chapter 18 FFT Convolution
311
Chapter 27 Data Compression
481
Chapter 28 Digital Signal Processors
503
Chapter 29 Getting Started with DSPs
535
Chapter 30 Complex Numbers
551
Chapter 31 The Complex Fourier Transform
567
Chapter 32 The Laplace Transform
581
Chapter 33 The zTransform
605
Backmatter
631
Back Cover
651
Copyright

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