Title :
Coding for the Slepian-Wolf problem with turbo codes
Author :
Bajcsy, Jan ; Mitran, Patrick
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
This paper proposes a practical coding scheme for the Slepian-Wolf problem of separate encoding of correlated sources. Finite-state machine (FSM) encoders, concatenated in parallel, are used at the transmit side and an iterative turbo decoder is applied at the receiver. Simulation results of system performance are presented for binary sources with different amounts of correlation. Obtained results show that the proposed technique outperforms by far both an equivalent uncoded system and a system coded with traditional (non-concatenated) FSM coding
Keywords :
binary codes; concatenated codes; correlation theory; data compression; finite state machines; iterative decoding; turbo codes; FSM encoders; Slepian-Wolf problem; binary sources; coding scheme; concatenated codes; correlated sources; data compression; encoding; finite-state machine; iterative turbo decoder; parallel encoder; performance; receiver; transmitter; Block codes; Concatenated codes; Encoding; Entropy; Error probability; Iterative decoding; Statistics; Sufficient conditions; System performance; Turbo codes;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965721