Title :
Efficient bandwidth transmission using forward error correcting code
Author :
Hwegi, Yousef ; Ali, Nasser ; Jayachandran, M.
Author_Institution :
Dept. of Comput. Eng., Alfatah Univ., Tripoli, Libya
Abstract :
In order to realize error free communication we have to add appropriate redundancy to the transmitted bit stream. This can be achieved using the convolutional code. There are a number of techniques for decoding convolutional code. The method used in this work is the Viterbi algorithm which performs maximum likelihood decoding.This work will give an overview to the convolution encoder and the Viterbi decoder. Furthermore, the simulation environment using MATLAB tool in the evaluation of the performance of the decoder with additive white Gaussian noise channel will be considered.
Keywords :
AWGN channels; Viterbi decoding; channel coding; convolutional codes; error correction codes; forward error correction; maximum likelihood decoding; MATLAB tool; Viterbi decoding algorithm; additive white Gaussian noise channel; bandwidth transmission; bit stream transmission; convolutional code; error free communication; forward error correcting code; maximum likelihood decoding; Bandwidth; Computer errors; Convolution; Convolutional codes; Error correction codes; MATLAB; Maximum likelihood decoding; Maximum likelihood estimation; Redundancy; Viterbi algorithm; Coding theory; Digital Filter; Digital Signal Processing;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234487