Evaluation of Design Tools for Rapid Prototyping of Parallel Signal Processing Algorithms Buy on Amazon
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Evaluation of Design Tools for Rapid Prototyping of Parallel Signal Processing Algorithms

Publisher Storming Media
Book Details
Author(s) James C. Savage
Publisher Storming Media
ISBN / ASIN 1423573978
ISBN-13 9781423573975
Sales Rank #99,999,999
Marketplace United States 🇺🇸
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Description
This is a AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A133123. The abstract provided by the Pentagon follows: Digital signal processing (DSP) has become a popular method for handling not only signal processing, but communications, and control system applications. A DSP application of interest to the Air Force is high speed avionics processing. The real time computing requirements of avionics processing exceed the capabilities of current single chip DSP processors, and parallelization of multiple DSP processors is a solution to handle such requirements. Designing and implementing a parallel DSP algorithm has been a lengthy process often requiring different design tools and extensive programming experience. Through the use of integrated software development tools, rapid prototyping becomes possible by simulating algorithms, generating code for workstations or DSP microprocessors, and generating hardware description language code for hardware synthesis. This research examines the use of one such tool, the Signal Processing WorkSystem (SPW) by the Alta Group of Cadence Design Systems, Inc., and how SPW supports the rapid prototyping process from an avionics algorithm design through simulation and hardware implementation. Throughout this process, SPW is evaluated as an aid to the avionics designer to meet design objectives and evaluate tradeoffs to find the best blend of efficiency and effectiveness.
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