Title :
Tracking Forecast Memories in stochastic decoders
Author :
Tehrani, Saeed Sharifi ; Naderi, Ali ; Kamendje, Guy-Armand ; Mannor, Shie ; Gross, Warren J.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
Abstract :
This paper proposes tracking forecast memories (TFMs) as a novel method for implementing re-randomization 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.
Keywords :
channel coding; iterative decoding; parity check codes; stochastic processes; ASIC implementations; iterative channel decoding; low-density parity-check codes; lower hardware complexity; stochastic channel decoders; tracking forecast memories; Application specific integrated circuits; Code standards; Decorrelation; Hardware; Iterative algorithms; Iterative decoding; Load forecasting; Parity check codes; Stochastic processes; WiMAX; ASIC; Iterative (channel) decoding; low-density parity-check codes; stochastic decoding;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959645
