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Synthesis and optimization of DSP algorithms /

Synthesis and Optimization of DSP Algorithms describes approaches taken to synthesising structural hardware descriptions of digital circuits from high-level descriptions of Digital Signal Processing (DSP) algorithms. The book contains: -A tutorial on the subjects of digital design and architectural...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Constantinides, George A., 1975-
Otros Autores: Cheung, Peter Y. K., Luk, Wayne
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Kluwer Academic Publishers, ©2004.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Synthesis and optimization of DSP algorithms /  |c by George A. Constantinides, Peter Y.K. Cheung and Wayne Luk. 
260 |a Boston :  |b Kluwer Academic Publishers,  |c ©2004. 
300 |a 1 online resource (xi, 164 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 157-162) and index. 
588 0 |a Print version record. 
505 0 |a Background -- Peak Value Estimation -- Word-Length Optimization -- Saturation Arithmetic -- Scheduling and Resource Binding -- Conclusion. 
520 |a Synthesis and Optimization of DSP Algorithms describes approaches taken to synthesising structural hardware descriptions of digital circuits from high-level descriptions of Digital Signal Processing (DSP) algorithms. The book contains: -A tutorial on the subjects of digital design and architectural synthesis, intended for DSP engineers, -A tutorial on the subject of DSP, intended for digital designers, -A discussion of techniques for estimating the peak values likely to occur in a DSP system, thus enabling an appropriate signal scaling. Analytic techniques, simulation techniques, and hybrids are discussed. The applicability of different analytic approaches to different types of DSP design is covered, -The development of techniques to optimise the precision requirements of a DSP algorithm, aiming for efficient implementation in a custom parallel processor. The idea is to trade-off numerical accuracy for area or power-consumption advantages. Again, both analytic and simulation techniques for estimating numerical accuracy are described and contrasted. Optimum and heuristic approaches to precision optimisation are discussed, -A discussion of the importance of the scheduling, allocation, and binding problems, and development of techniques to automate these processes with reference to a precision-optimized algorithm, -Future perspectives for synthesis and optimization of DSP algorithms. 
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700 1 |a Luk, Wayne. 
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