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VLSISP
2002
72views more  VLSISP 2002»
15 years 5 months ago
Second Order Nonstationary Source Separation
This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed co...
Seungjin Choi, Andrzej Cichocki, Adel Belouchrani
ICPR
2008
IEEE
15 years 11 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
VTC
2006
IEEE
123views Communications» more  VTC 2006»
15 years 11 months ago
Analysis and Optimization of SIMO Systems with Adaptive Coded Modulation in Spatially Correlated Rayleigh Fading
— In this paper we investigate the performance of an adaptive coded modulation (ACM) system in single-input multiple-output Rayleigh fading channels with spatial correlation. The...
Duc V. Duong, Bengt Holter, Geir E. Øien
FLAIRS
2010
15 years 7 months ago
Correlating Shape and Functional Properties Using Decomposition Approaches
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
ESANN
2007
15 years 6 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville