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» Linearly decodable functions from neural population codes
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IJON
2002
90views more  IJON 2002»
13 years 4 months ago
Linearly decodable functions from neural population codes
The population vector is a linear decoder for an ensemble of neurons, whose response properties are nonlinear functions of the input vector. However, previous analyses of this deco...
M. Brandon Westover, Chris Eliasmith, Charles H. A...
IJCES
2002
100views more  IJCES 2002»
13 years 4 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang
TIT
1998
86views more  TIT 1998»
13 years 4 months ago
A Sequential Decoder for Linear Block Codes with a Variable Bias-Term Metric
—A sequential decoder for linear block codes that performs maximum-likelihood soft-decision decoding is described. The decoder uses a metric computed from a lower bound on the co...
Vladislav Sorokine, Frank R. Kschischang
DCC
2005
IEEE
14 years 4 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
TIT
2008
122views more  TIT 2008»
13 years 4 months ago
An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes
Abstract--In linear programming (LP) decoding of a low-density parity-check (LDPC) code one minimizes a linear functional, with coefficients related to log-likelihood ratios, over ...
Michael Chertkov, Mikhail G. Stepanov