Digital Signal Processing

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 backgroundSignalverarbeitung besteht in der mathematischen Darstellung des Signals und dessen algorithmischer Manipulation, um den Informationsgehalt zu entschlüsseln. Dieser Band vermittelt Ihnen das nötige Grundwissen auf dem Gebiet der Signalverarbeitung und AD/DA-Wandlung, um Originalliteratur und Konferenzberichte zu verstehen. Mit zahlreichen Übungsaufgaben und einem Lösungsteil! (12/00)

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

"This...book offers a contemporary and comprehensive treatment of DSP." (Choice, Vol. 38, No. 8, April 2001) JONATHAN (Y) STEIN, PhD, is Chief Scientist with RAD Data Communications, Tel Aviv, Israel. 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