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CORR
2008
Springer
144views Education» more  CORR 2008»
13 years 6 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies
ACL
2003
13 years 7 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
TWC
2008
132views more  TWC 2008»
13 years 6 months ago
Asymptotic BER analysis of threshold digital relaying schemes in cooperative wireless systems
Threshold relaying is an effective technique to achieve cooperative diversity in uncoded cooperative wireless networks, which suffer from error propagation due to detection errors...
Furuzan Atay Onat, Yijia Fan, Halim Yanikomeroglu,...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 11 hour ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
CISS
2007
IEEE
14 years 25 days ago
Wireless Multicasting with Channel Uncertainty
— We consider wireless multicasting where a source of common information is transmitted to a group of receivers over block fading channels. Communication between the transmitter ...
Jie Luo, Anthony Ephremides