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Reseach Article

Convolutional Encoder Design using 16 Bit Vedic Multiplier on High Speed Revolution

Published on October 2014 by Shreyasi P. Bhat, and Ravindra D. Kadam, Prashant R. Indurkar
International Conference on Quality Up-gradation in Engineering, Science and Technology
Foundation of Computer Science USA
ICQUEST - Number 2
October 2014
Authors: Shreyasi P. Bhat, and Ravindra D. Kadam, Prashant R. Indurkar
6f807337-308f-42b7-8bc0-686c30e4c6ee

Shreyasi P. Bhat, and Ravindra D. Kadam, Prashant R. Indurkar . Convolutional Encoder Design using 16 Bit Vedic Multiplier on High Speed Revolution. International Conference on Quality Up-gradation in Engineering, Science and Technology. ICQUEST, 2 (October 2014), 12-15.

@article{
author = { Shreyasi P. Bhat, and Ravindra D. Kadam, Prashant R. Indurkar },
title = { Convolutional Encoder Design using 16 Bit Vedic Multiplier on High Speed Revolution },
journal = { International Conference on Quality Up-gradation in Engineering, Science and Technology },
issue_date = { October 2014 },
volume = { ICQUEST },
number = { 2 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 12-15 },
numpages = 4,
url = { /proceedings/icquest/number2/18694-1542/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Quality Up-gradation in Engineering, Science and Technology
%A Shreyasi P. Bhat
%A and Ravindra D. Kadam
%A Prashant R. Indurkar
%T Convolutional Encoder Design using 16 Bit Vedic Multiplier on High Speed Revolution
%J International Conference on Quality Up-gradation in Engineering, Science and Technology
%@ 0975-8887
%V ICQUEST
%N 2
%P 12-15
%D 2014
%I International Journal of Computer Applications
Abstract

In mathematics, multiplication is the most commonly used operation. This paper explores the design approach of a convolution encoder using vedic multiplier which leads to improve delay and faster speed. Here, the efficiency of Urdhva Triyagbhyam Vedic method for multiplication which strikes a difference in the actual process of multiplication itself. It enables parallel generation of partial products and eliminates unwanted multiplication steps. This algorithm follows a fast multiplication process and achieves a significantly less computational complexity over its conventional counterparts. The coding is in VHDL and synthesis is in Xilinx ISE simulator.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Convolutional Encoder Multiplier Urdhava Tiryakbhyam Vedic Mathematics.