Synthesis and Optimization of DSP Algorithms
Autor George Constantinides, Peter Y.K. Cheung, Wayne Luken Limba Engleză Paperback – 24 apr 2013
-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.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 634.68 lei 43-57 zile | |
Springer Us – 24 apr 2013 | 634.68 lei 43-57 zile | |
Hardback (1) | 641.71 lei 43-57 zile | |
Springer Us – 30 apr 2004 | 641.71 lei 43-57 zile |
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Specificații
ISBN-13: 9781475779844
ISBN-10: 1475779844
Pagini: 180
Ilustrații: XI, 164 p. 18 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1475779844
Pagini: 180
Ilustrații: XI, 164 p. 18 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Background.- Peak Value Estimation.- Word-Length Optimization.- Saturation Arithmetic.- Scheduling and Resource Binding.- Conclusion.