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ESANN
2008
15 years 4 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz
TIT
2008
73views more  TIT 2008»
15 years 3 months ago
Turbo Codes in Binary Erasure Channel
In this correspondence, the stopping set of turbo codes with iterative decoding in the binary erasure channel is defined. Block and bit erasure probabilities of turbo codes are stu...
Jeong Woo Lee, Rüdiger L. Urbanke, Richard E....
TCOM
2010
67views more  TCOM 2010»
15 years 1 months ago
Weakly-Constrained Codes for Suppression of Patterning Effects in Digital Communications
—We propose weakly-constrained stream and block codes with tunable pattern-dependent statistics and demonstrate that the block code capacity at large block sizes is close to the ...
Alexander V. Shafarenko, Anton Skidin, Sergei K. T...
113
Voted
ICC
2008
IEEE
15 years 10 months ago
Unveiling Near-Capacity Code Design: The Realization of Shannon's Communication Theory for MIMO Channels
— In this contribution we show how Shannon’s coding theory could be realized for Multiple-Input Multiple-Output (MIMO) channels with the aid of EXtrinsic Information Transfer (...
Soon Xin Ng, Jin Wang, Lajos Hanzo
136
Voted
SIPS
2008
IEEE
15 years 9 months ago
Scheduling of dataflow models within the Reconfigurable Video Coding framework
The upcoming Reconfigurable Video Coding (RVC) standard from MPEG (ISO/IEC SC29WG11) defines a library of coding tools to specify existing or new compressed video formats and deco...
Jani Boutellier, Veeranjaneyulu Sadhanala, Christo...