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EMNLP
2007
13 years 11 months ago
Online Large-Margin Training for Statistical Machine Translation
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki ...
DCC
1999
IEEE
14 years 2 months ago
Performance of Quantizers on Noisy Channels Using Structured Families of Codes
Abstract--Achievable distortion bounds are derived for the cascade of structured families of binary linear channel codes and binary lattice vector quantizers. It is known that for ...
András Méhes, Kenneth Zeger
GLOBECOM
2008
IEEE
14 years 4 months ago
Near-Capacity Iteratively Decoded Binary Self-Concatenated Code Design Using EXIT Charts
— In this treatise Extrinsic Information Transfer (EXIT) charts are used to design binary Self-Concatenated Convolutional Codes employing Iterative Decoding (SECCC-ID) for commun...
Muhammad Fasih Uddin Butt, Raja Ali Riaz, Soon Xin...
TWC
2010
13 years 4 months ago
Near-capacity iterative decoding of binary self-concatenated codes using soft decision demapping and 3-D EXIT charts
In this paper 3-D Extrinsic Information Transfer (EXIT) charts are used to design binary Self-Concatenated Convolutional Codes employing Iterative Decoding (SECCC-ID), exchanging e...
Muhammad Fasih Uddin Butt, Raja Ali Riaz, Soon Xin...
TIT
2002
98views more  TIT 2002»
13 years 9 months ago
DC-free binary convolutional coding
A novel DC-free binary convolutional coding scheme is presented. The proposed scheme achieves the DC-free and error correcting capability simultaneously. The scheme has a simple ca...
Tadashi Wadayama, A. J. Han Vinck