Title :
Serial turbo coding for data compression and the Slepian-Wolf problem
Author :
Deslauriers, Isabel ; Bajcsy, Jan
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
The paper presents a data compression scheme based on serial turbo coding using finite state machine (FSM) encoders and iterative decoding. The scheme is applied to the fixed length to fixed length compression of a single memoryless source, the Slepian-Wolf problem of separate encoding of correlated sources, and joint source-channel coding. Simulation results are presented to document its efficiency.
Keywords :
combined source-channel coding; finite state machines; iterative decoding; turbo codes; FSM encoders; Slepian-Wolf problem; correlated sources; data compression; finite state machine encoders; iterative decoding; joint source-channel coding; memoryless source; serial turbo coding; Automata; Concatenated codes; Data compression; Data engineering; Entropy; Error analysis; Iterative decoding; Source coding; Time sharing computer systems; Turbo codes;
Conference_Titel :
Information Theory Workshop, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-7799-0
DOI :
10.1109/ITW.2003.1216752
