@article{(Open Science Index):https://publications.waset.org/pdf/10006674,
	  title     = {Analysis of Joint Source Channel LDPC Coding for Correlated Sources Transmission over Noisy Channels},
	  author    = {Marwa Ben Abdessalem and  Amin Zribi and  Ammar Bouall├Ęgue},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a Joint Source Channel coding scheme
based on LDPC codes is investigated. We consider two concatenated
LDPC codes, one allows to compress a correlated source and the
second to protect it against channel degradations. The original
information can be reconstructed at the receiver by a joint decoder,
where the source decoder and the channel decoder run in parallel by
transferring extrinsic information. We investigate the performance of
the JSC LDPC code in terms of Bit-Error Rate (BER) in the case
of transmission over an Additive White Gaussian Noise (AWGN)
channel, and for different source and channel rate parameters.
We emphasize how JSC LDPC presents a performance tradeoff
depending on the channel state and on the source correlation. We
show that, the JSC LDPC is an efficient solution for a relatively
low Signal-to-Noise Ratio (SNR) channel, especially with highly
correlated sources. Finally, a source-channel rate optimization has
to be applied to guarantee the best JSC LDPC system performance
for a given channel.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {11},
	  number    = {3},
	  year      = {2017},
	  pages     = {296 - 300},
	  ee        = {https://publications.waset.org/pdf/10006674},
	  url   	= {https://publications.waset.org/vol/123},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 123, 2017},