Paper Info
Title
Low-Complexity Joint Source/Channel Turbo Decoding of Arithmetic Codes with Image Transmission Application
Abstract
In this paper a novel joint source channel (JSC) decoding technique is presented. The proposed approach enables iterative decoding for serially concatenated arithmetic codes and convolutional codes. Iterations are performed between Soft In Soft Out (SISO) component decoders. For arithmetic decoding, we proposed to employ a low complex trellis search technique to estimate the best transmitted codewords and generate soft outputs. Performance of the presented system are evaluated in terms of PER, in the case of transmission across the AWGN channel. Simulation results show that the proposed JSC iterative scheme leads to significant gain in comparison with a traditional separated decoding. Finally, the practical relevance of the proposed technique is validated under an image transmission system using the SPIHT codec.
Year
DOI
Venue
2009
10.1109/DCC.2009.31
Snowbird, UT
Keywords
Field
DocType
novel joint source channel,low-complexity joint source,iterative decoding,image transmission application,arithmetic codes,proposed technique,decoding technique,channel turbo decoding,awgn channel,image transmission system,arithmetic decoding,traditional separated decoding,proposed jsc iterative scheme,decoding,convolutional codes,telecommunications,image compression,source coding,arithmetic,codecs,channel coding,arithmetic coding,turbo codes,testing,convolutional code,data compression
Convolutional code,Sequential decoding,Computer science,Turbo code,Serial concatenated convolutional codes,Arithmetic,Theoretical computer science,Decoding methods,List decoding,Codec,Arithmetic coding
Conference
ISSN
ISBN
Citations 
1068-0314
978-1-4244-3753-5
3
PageRank 
References 
Authors
0.39
2
4
Name
Order
Citations
PageRank
Amin Zribi141.76
Sonia Zaibi2102.59
Ramesh Pyndiah37917.12
Ammar Bouallègue4165.61