Title :
Retrieving the Correct Information: Channel Coding Reliability in Error Detection and Correction
Author :
Adam, Tijjani ; Hashim, Uda ; Sani, Usman S.
Author_Institution :
Inst. of Nano Electron. Eng., Univ. Malaysia Perlis (UniMAP), Kangar, Malaysia
Abstract :
The Channel coding deals with error control techniques. If the data at the output of a communications system has errors that are too frequent for the desired use, the errors can often be reduced by the use of a number of techniques. Here the paper present a study on a very simple and adaptable decoder modeling algorithms which we generated the code using Matlab software and tested on three channel-coding techniques namely; Hamming code, convolution code, and uncoded technique for their reliability in error detection over another a comparisons were made between the coded and uncoded techniques and between the two coded techniques, our reliable study shows the reliability of the coded techniques over uncoded one and the reliability of convolutional coded over hamming coded technique, the comparisons were made through their error probabilities under similar constraints of power and information rate.
Keywords :
Hamming codes; channel coding; convolutional codes; decoding; error correction codes; error detection codes; probability; reliability; Hamming coded technique; Matlab software; channel coding reliability; convolution code; decoder modeling algorithm; error control technique; error correction; error detection; error probability; information retrieval; Channel coding; Computational modeling; Convolutional codes; Error probability; Noise measurement; Software reliability; Hamming code; decoder; convolutional code; channel; error detection; error correction;
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
Conference_Location :
Kuantan
Print_ISBN :
978-1-4673-3113-5
DOI :
10.1109/CIMSim.2012.90