Practical Signal Processing

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Hardcover | 17 May 2007

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Hardcover
348 Pages

Dimensions(cm)
24.41 x 16.99 x 2.06

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The principles of signal processing are fundamental to the operation of many everyday devices. This book introduces the basic theory of digital signal processing, with emphasis on real-world applications. Sampling, quantisation, the Fourier transform, filters, Bayesian methods and numerical considerations are covered, then developed to illustrate how they are used in audio, image, and video processing and compression, and in communications. The book concludes with methods for the efficient implementation of algorithms in hardware and software. Intuitive arguments rather than mathematical ones are used wherever possible, and links between various signal processing techniques are stressed. The advantages and disadvantages of different approaches are presented in the context of real-world examples, enabling the reader to choose the best solution to a given problem. With over 200 illustrations and over 130 exercises (including solutions), this book will appeal to practitioners working in signal processing, and undergraduate students of electrical and computer engineering.

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Preface	p. ix
Foundations	p. 1
Introduction	p. 3
What is a signal?	p. 3
Domain and range of a signal	p. 3
Converting signals from one form to another	p. 4
Processing signals	p. 5
Notation	p. 6
Sampling	p. 10
Regular sampling	p. 10
What is lost in sampling?	p. 11
Examples of aliasing	p. 13
Negative frequencies	p. 15
The Nyquist limit	p. 16
Irregular sampling	p. 17
Conversion between analogue and digital	p. 25
A simple digital signal processing system	p. 25
Non-linear quantisation	p. 28
How many bits do we need?	p. 29
Dither	p. 30
Non-ideal conversion	p. 32
The frequency domain	p. 37
Measuring rotational speed	p. 37
More complicated motion	p. 39
Interpreting the Fourier transform	p. 42
How many Fourier coefficients are there?	p. 43
Reconstructing a signal from its Fourier transform	p. 43
Real signals	p. 44
Dealing with non-periodic signals	p. 49
The fast Fourier transform	p. 53
Filters	p. 63
Smoothing a signal	p. 63
Analysing a filter	p. 66
Convolution in the frequency domain	p. 74
Correlation	p. 76
Designing FIR filters	p. 77
Interpolation	p. 83
Infinite impulse response filters	p. 94
Filtering complex sequences	p. 100
Likelihood methods	p. 104
Probability and conditional probability	p. 104
Probability and signal processing	p. 109
Noise	p. 111
Numerical considerations	p. 124
Fixed-point representations	p. 124
Negative numbers in fixed-point representations	p. 135
Floating-point representations	p. 139
Choosing between fixed point and floating point	p. 143
Applications	p. 147
Audio	p. 149
The ear	p. 149
Sample rates and conversion	p. 149
Audio in the frequency domain	p. 152
Compression of audio signals	p. 154
Pitch extraction	p. 163
Delta-sigma conversion	p. 172
Still images	p. 178
Luminance and chrominance	p. 178
Gamma	p. 179
An image as a signal	p. 180
Filtering an image	p. 185
The discrete cosine transform	p. 193
JPEG compression for continuous-tone images	p. 198
The discrete wavelet transform	p. 202
Image scaling	p. 209
Image enhancement	p. 213
Edge detection	p. 215
Processing of bilevel images	p. 217
Pattern recognition	p. 223
Moving images	p. 231
Standard video formats	p. 231
Deinterlacing	p. 234
Standards conversion	p. 239
Motion estimation	p. 241
MPEG-2 video compression	p. 246
Communications	p. 253
Amplitude modulation	p. 254
Frequency modulation	p. 260
Quadrature amplitude modulation	p. 263
Spread spectrum schemes	p. 287
Implementations	p. 299
Software implementations	p. 300
Processor architectures	p. 302
Hardware implementations	p. 307
Bit-serial arithmetic	p. 313
Answers	p. 323
Index	p. 329
Table of Contents provided by Ingram. All Rights Reserved.

Practical Signal Processing

At a Glance

Hardcover

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