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» Neural Network Decoders for Linear Block Codes
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ISCAS
2006
IEEE
100views Hardware» more  ISCAS 2006»
14 years 1 months ago
Decoders for low-density parity-check convolutional codes with large memory
— Low-density parity-check convolutional codes offer the same good error-correcting performance as low-density parity-check block codes while having the ability to encode and dec...
Stephen Bates, L. Gunthorpe, Ali Emre Pusane, Zhen...
NIPS
2007
13 years 9 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
DCC
2004
IEEE
14 years 7 months ago
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
We introduce three new innovations for compression using LDPCs for the Slepian-Wolf problem. The first is a general iterative Slepian-Wolf decoding algorithm that incorporates the...
Anna H. Lee, Michelle Effros, Muriel Médard...
CORR
2007
Springer
146views Education» more  CORR 2007»
13 years 7 months ago
Coding for Errors and Erasures in Random Network Coding
Abstract—The problem of error-control in random linear network coding is considered. A “noncoherent” or “channel oblivious” model is assumed where neither transmitter nor...
Ralf Koetter, Frank R. Kschischang
ICASSP
2011
IEEE
12 years 11 months ago
Single-symbol decodable distributed STBC for two-path successive relay networks
A fast-decodable distributed space-time block code (STBC) is proposed for a two-path successive relay network that can achieve both full diversity and full transmission rate. The ...
Long Shi, Wei Zhang, Pak-Chung Ching