article · 2012
Implementation of Viterbi Decoder for Convolutional Code in HDL
Nilesh G. Nirmal, Gajanan U. Patil, Prafulla. P. Chaudhari, Ar. M. Kulkarni
Cited by 0Abstract and details only
Abstract
Abstract—Convolutional encoding and decoding (Viterbi decoding) is a powerful method for forward error detection & correction. It has been widely deployed in many communication systems to improve the limited capacity and code rate of the communication channels. The Viterbi algorithm, which is the most extensively employed decoding algorithm for convolutional codes. In this paper, we present a Simulation soft core implementation of Viterbi Decoder with a constraint length of three and a code rate of 2/3.
Cite this paper
Nirmal, N. G., Patil, G. U., Chaudhari, P. P., & Kulkarni, A. M. (2012). Implementation of Viterbi Decoder for Convolutional Code in HDL.
Nirmal, Nilesh G., et al. “Implementation of Viterbi Decoder for Convolutional Code in HDL.” 2012.
Nirmal, Nilesh G., Gajanan U. Patil, Prafulla. P. Chaudhari, and Ar. M. Kulkarni. 2012. “Implementation of Viterbi Decoder for Convolutional Code in HDL.”
Nirmal, N.G. et al. (2012) ‘Implementation of Viterbi Decoder for Convolutional Code in HDL’.
@article{nirmal2012implementation,
title = {{Implementation of Viterbi Decoder for Convolutional Code in HDL}},
author = {Nirmal, Nilesh G. and Patil, Gajanan U. and Chaudhari, Prafulla. P. and Kulkarni, Ar. M.},
year = {2012}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.