|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 128 - Issue 10 |
| Published: October 2015 |
| Authors: Nashrah Fatima, Taha Tanveer, Brahmi Shrman |
10.5120/ijca2015906638
|
Nashrah Fatima, Taha Tanveer, Brahmi Shrman . Implementation for Minimization of Computation Time of Partial Products for Designing Multipliers using Tabulated Vedic Mathematics. International Journal of Computer Applications. 128, 10 (October 2015), 1-5. DOI=10.5120/ijca2015906638
@article{ 10.5120/ijca2015906638,
author = { Nashrah Fatima,Taha Tanveer,Brahmi Shrman },
title = { Implementation for Minimization of Computation Time of Partial Products for Designing Multipliers using Tabulated Vedic Mathematics },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 128 },
number = { 10 },
pages = { 1-5 },
doi = { 10.5120/ijca2015906638 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Nashrah Fatima
%A Taha Tanveer
%A Brahmi Shrman
%T Implementation for Minimization of Computation Time of Partial Products for Designing Multipliers using Tabulated Vedic Mathematics%T
%J International Journal of Computer Applications
%V 128
%N 10
%P 1-5
%R 10.5120/ijca2015906638
%I Foundation of Computer Science (FCS), NY, USA
Multiplication is the most time consuming process in various signal processing operations like Convolution, Circular Convolution, auto-correlation, and Cross Correlation, Image processing applications such as edge detection, microprocessors arithmetic and logical units etc. The multiplier circuit uses adder logic which reduces speed of operation due to its path propagation delay. The designs used offer tradeoffs between Computational time area, latency and throughput for performing multiplication. In this paper an ancient Indian Vedic mathematics sutras base multiplier have been proposed with Urdhva Tiryakbhyam sutra. In this methodology the length of input sequence used for multiplication varies from two to eight.