Parallel Algorithms and Architectures for DSP Applications

by Magdy A. Bayoumi (editor)

Over the past few years, the demand for high speed Digital Signal Proces­ sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni­ tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor­ mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such 1. Intermediate data communication and several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro­ cessing time of the intermediate middle stages. 2. Complex DSP the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac­ ceptable speed performance.

296 pages, Paperback

First published September 30, 1991