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Full Description
Get a working knowledge of digital signal processing for computer science applications
The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today's cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides:
* A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature
* Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language
* Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors
* A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications
* More than 200 illustrations as well as an appendix containing the essential mathematical background
Contents
Preface xv
1 Introductions 1
Part I Signal Analysis
2 Signals 15
3 The Spectrum of Periodic Signals 71
4 The Frequency Domain 103
5 Noise 161
Part II Signal Processing Systems
6 Systems 207
7 Filters 271
8 Nonfilters 321
9 Correlation 349
10 Adaptation 393
11 Biological Signal Processing 427
Part III Architectures and Algorithms
12 Graphical Techniques 461
13 Spectral Analysis 495
14 The Fast Fourier Transform 531
15 Digital Filter Implementation 569
16 Function Evaluation Algorithms 605
17 Digital Signal Processors 619
Part IV Applications
18 Communications Signal Processing 647
19 Speech Signal Processing 739
A Whirlwind Exposition of Mathematics 781
Bibliography 829
Index 849