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ICASSP
2011
IEEE
14 years 8 months ago
From maximum likelihood to iterative decoding
Iterative decoding is considered in this paper from an optimization point of view. Starting from the optimal maximum likelihood decoding, a (tractable) approximate criterion is de...
Florence Alberge, Ziad Naja, Pierre Duhamel
IROS
2008
IEEE
146views Robotics» more  IROS 2008»
15 years 11 months ago
Redundancy resolution of a 7 DOF haptic interface considering collision and singularity avoidance
— This paper presents a new redundancy resolution approach based on the gradient projection method, which allows to avoid man-machine and machine-machine collisions as well as si...
Yuta Komoguchi, Ken'ichi Yano, Angelika Peer, Mart...
CORR
2002
Springer
180views Education» more  CORR 2002»
15 years 4 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer
DATE
2010
IEEE
142views Hardware» more  DATE 2010»
15 years 6 months ago
Automatic microarchitectural pipelining
Abstract--This paper presents a method for automatic microarchitectural pipelining of systems with loops. The original specification is pipelined by performing provably-correct tra...
Marc Galceran Oms, Jordi Cortadella, Dmitry Bufist...
IJON
2006
138views more  IJON 2006»
15 years 4 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong