Use of Multiprocessing For High Throughput and Low Power Implementation of Two Dimensional Discrete Fourier Transform, Discrete Cosine Transform and MPEG Motion Estimation

Abstract

In this work high throughput and low power implementations of two dimensional Discrete Fourier Transform, Discrete Cosine Transform and MPEG Motion Estimation, for battery powered real time applications, using configurable multiprocessors, are proposed and compared in terms of speed, power, area and type of application. The results show the significance of multiprocessing in reducing the computational complexity of the application depending upon the type of application and the speed, area or power constraint.