Digital Signal Processing – A Computer Science Perspective
Seiten
2001
John Wiley & Sons Inc (Hersteller)
978-0-471-20059-8 (ISBN)
John Wiley & Sons Inc (Hersteller)
978-0-471-20059-8 (ISBN)
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Provides an introduction to the various aspects of DSP, which are useful for working on applications in speech compression, recognition and modem design. This book explains the principles of digital signal processors that allow readers to investigate assembly languages of processors. It also contains illustrations, along with an appendix.
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 non-linear 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; and more than 200 illustrations, as well as an appendix containing the essential mathematical background.
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 non-linear 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; and more than 200 illustrations, as well as an appendix containing the essential mathematical background.
JONATHAN (Y) STEIN, PhD, is Chief Scientist with RAD Data Communications, Tel Aviv, Israel.
| Erscheint lt. Verlag | 5.10.2001 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 10 g |
| Themenwelt | Technik ► Nachrichtentechnik |
| ISBN-10 | 0-471-20059-X / 047120059X |
| ISBN-13 | 978-0-471-20059-8 / 9780471200598 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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