Relaxation Dynamics in Stochastic Iterative Decoders

Stochastic decoding is a recently proposed approach for graph-based iterative error control decoding. We present and investigate three hysteresis methods for stochastic decoding on graphs with cycles and show their close relationship with the successive relaxation method. Implementation results demo...

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Veröffentlicht in:	IEEE transactions on signal processing 2010-11, Vol.58 (11), p.5955-5961
Hauptverfasser:	Sharifi Tehrani, Saeed, Winstead, Chris, Gross, Warren J, Mannor, Shie, Howard, Sheryl L, Gaudet, Vincent C
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Circuits Coding, codes Decoders Decoding Dynamics Error correction Errors Exact sciences and technology Graphs Hardware Hysteresis Information, signal and communications theory Iterative decoding Iterative methods low-density parity-check Miscellaneous Parity check codes Permission Signal and communications theory Signal processing Signal processing algorithms stochastic decoding Stochastic processes Stochasticity successive relaxation sum-product algorithm Telecommunications and information theory
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Beschreibung
Zusammenfassung:	Stochastic decoding is a recently proposed approach for graph-based iterative error control decoding. We present and investigate three hysteresis methods for stochastic decoding on graphs with cycles and show their close relationship with the successive relaxation method. Implementation results demonstrate the tradeoff in bit error rate performance with circuit complexity.
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2010.2066269