International Journal of Soft Computing

111
Views

0
Downloads

Joint Source Channel Coding for Image Transmission over Wireless Channel Using Sequence Minimum Mean Squared Error Decoder

Jalel Chebil and Boualem Boashash
Page: 42-47 | Received 21 Sep 2022, Published online: 21 Sep 2022

By Research Area

Medicine & Public Health Life Sciences Engineering Mathematics Biomedicine Physics Chemistry Computer Science Earth Sciences Social Sciences Business and Management Psychology Materials Science Economics Education Environment Philosophy Statistics Law Political Science and International Relations Pharmacy Dentistry Energy Linguistics Geography Finance Criminology and Criminal Justice Medicine Cultural and Media Studies History Architecture / Design Literature Biomedical Sciences Religious Studies Education & Language Food Science & Nutrition Public Health

By Volume and Issue

Abstract

Transmission of image and video over time-varying wireless channel can benefit from the use of the joint source-channel (JSC) coding methods. This study investigates the use of the sequence-based approximate MMSE method in the improvement of the joint source channel decoding of a DPCM system. Using this technique, three methods are presented. The produced results show that the method with the best performance outperforms the sequence maximum a posteriori technique.

How to cite this article:

Jalel Chebil and Boualem Boashash . Joint Source Channel Coding for Image Transmission over Wireless Channel Using Sequence Minimum Mean Squared Error Decoder.
DOI: https://doi.org/10.36478/ijscomp.2007.42.47
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2007.42.47