Digital signal processing : a computer science perspective

著者

    • Stein, Jonathan Y.

書誌事項

Digital signal processing : a computer science perspective

Jonathan (Y) Stein

(Wiley series in telecommunications and signal processing)(A Wiley-Interscience publication)

John Wiley, c2000

大学図書館所蔵 件 / 19

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注記

Includes bibliographical references (p. 829-848) and index

内容説明・目次

内容説明

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

目次

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

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