Title :
Compression of binary memoryless sources using punctured turbo codes
Author :
Garcia-Frias, Javier ; Zhao, Ying
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
In this letter, we propose the use of punctured turbo codes to perform near-lossless compression and joint source-channel coding of binary memoryless sources. Compression is achieved by puncturing the turbo code to the desired rate. No information about the source distribution is required in the encoding process. Moreover, the source parameters do not need to be known in the decoder, since they can be estimated jointly with the iterative decoding process.
Keywords :
combined source-channel coding; iterative decoding; memoryless systems; turbo codes; binary memoryless sources; iterative decoding; joint source-channel coding; near-lossless compression; punctured turbo codes; Channel coding; Convolutional codes; Data compression; Data storage systems; Encoding; Entropy; Iterative decoding; Iterative methods; Source coding; Turbo codes;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2002.803484