Conference Proceeding
A Markov chain model for Edge Memories in stochastic decoding of LDPC codes
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
04/2011; DOI:10.1109/CISS.2011.5766114 In proceeding of: Information Sciences and Systems (CISS), 2011 45th Annual Conference on Source: IEEE Xplore
 Citations (7)
 Cited In (0)

Conference Proceeding: Tracking Forecast Memories in stochastic decoders
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ABSTRACT: This paper proposes tracking forecast memories (TFMs) as a novel method for implementing rerandomization and decorrelation of stochastic bit streams in stochastic channel decoders. We show that TFMs are able to achieve decoding performance similar to that of the previous methods in the literature (i.e., edge memories or EMs), but they exhibit much lower hardware complexity. TFMs significantly reduce the area requirements of ASIC implementations of stochastic decoders.Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on; 05/2009 · 4.63 Impact Factor 
Article: Stochastic Iterative Decoders
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ABSTRACT: This paper presents a stochastic algorithm for iterative error control decoding. We show that the stochastic decoding algorithm is an approximation of the sumproduct algorithm. When the code's factor graph is a tree, as with trellises, the algorithm approaches maximum aposteriori decoding. We also demonstrate a stochastic approximations to the alternative update rule known as successive relaxation. Stochastic decoders have very simple digital implementations which have almost no RAM requirements. We present example stochastic decoders for a trellisbased Hamming code, and for a Block Turbo code constructed from Hamming codes.03/2005;  [show abstract] [hide abstract]
ABSTRACT: An iterative decoding architecture based on stochastic computational elements is proposed. Simulation results for a simple lowdensity paritycheck code demonstrate nearoptimal performance with respect to a maximum likelihood decoder. The proposed method provides an alternative to analogue decoding for highspeed/lowpower applications.Electronics Letters 03/2003; · 1.04 Impact Factor
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