Synthesis and Optimization of DSP Algorithms

George Constantinides (u. a.)

ISBN 10: 1475779844 / ISBN 13: 9781475779844

Published by Springer US, 2013

About this Item

Synthesis and Optimization of DSP Algorithms | George Constantinides (u. a.) | Taschenbuch | xi | Englisch | 2013 | Springer US | EAN 9781475779844 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105651465

Bibliographic Details

• Title: Synthesis and Optimization of DSP Algorithms
• Publisher: Springer US
• Publication Date: 2013
• Language: English
• ISBN 10: 1475779844
• ISBN 13: 9781475779844
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 11D millimeters 235 millimeters width by 155 millimeters height by 11 millimeters depth
• Weight: 283 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.