Error detection/correction and fault detection/recovery – Pulse or data error handling – Error/fault detection technique
Reexamination Certificate
2011-03-01
2011-03-01
Rizk, Sam (Department: 2112)
Error detection/correction and fault detection/recovery
Pulse or data error handling
Error/fault detection technique
Reexamination Certificate
active
07900126
ABSTRACT:
Systems and methods for generating check node updates in the decoding of low-density parity-check (LDPC) codes use new approximations in order to reduce the complexity of implementing a LDPC decoder, while maintaining accuracy. The new approximations approximate the standard float-point sum-product algorithm (SPA), and can reduce the approximation error of min-sum algorithm (MSA) and have almost the same performance under 5 bits fix-point realization as the float-point sum-product algorithm (SPA).
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Papharalabos et al. Modified sum-product algorithms for decoding low-density parity-check codes. Apr. 3, 2006. Institution of engineering and Technology 2007. pp. 294-300.
Masera et al. Finite precision implementation of LDPC decoders. May 4, 2005. IEE proceedings online No. 20050205. pp. 1098-1102.
Sun Guohui
Yang Hongwen
Baker & McKenzie LLP
Rizk Sam
Via Telecom, Inc.
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