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

fYear

2009

fDate

19-24 April 2009

Firstpage

561

Lastpage

564

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4959645

Filename

4959645