Książka Digital Signal Processing - A Computer Science Perspective Jonathan (Y) Stein

Digital Signal Processing - A Computer Science Perspective

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-20 dni
1 079.09
Get a working knowledge of digital signal processing for computer science applications The field of...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2000
strony
880
EAN
9780471295464
ISBN
0471295469
Enbook ID
04889538
Waga
1310
Wymiary
161 x 241 x 48

Pełny opis

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

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