Design of fully scalable reconfigurable parallel architecture for the computation of approximate DCT

Authors

  • T. Kavitha Associate Professor, Department of ECE, MVSR Engineering College, Hyderabad, India

Abstract

This paper presents a fully scalable reconfigurable parallel architecture for the computation of approximate DCT based on the algorithm. One uniquely interesting feature of the existing design is that it could be configured for the computation of 32-point DCTs for parallel computation of two 16-pointDCTs, four 8-point DCTs. We have proposed the computation of 64-point DCTs for parallel computation of two 32-point DCTs, four 16-point DCTs and eight 8-point DCTs. The Reconfigurable Architecture for 64-point DCT is simulated and synthesized by Xilinx 13.2 tool.

Index Terms: DCT approximation, Discrete Cosine Transform (DCT)

Published

2017-04-30

How to Cite

T. Kavitha. (2017). Design of fully scalable reconfigurable parallel architecture for the computation of approximate DCT. International Journal of Innovative Computer Science & Engineering, 4(1). Retrieved from https://ijicse.in/index.php/ijicse/article/view/83

Issue

Section

Articles