Research ArticleOpen Access

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

Volume 4 - Issue 1

**Shahrukh Agha*¹ and Farman ullahJan²**

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- ¹Department of Electrical Engineering, COMSATS Institute of Information Technology, Pakistan
- ²Department of Physics, COMSATS Institute of Information Technology, Pakistan
*Corresponding author: Shahrukh Agha, Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, Pakistan

Received: April 11, 2018; Published: April 20, 2018

DOI: 10.26717/BJSTR.2018.04.000981

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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.

Keywords: Two-Dimensional Discrete Fourier Transform; Discrete Cosine Transform; Motion Estimation, Multiprocessing; Real Time Processing