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CSDA
2004
129views more  CSDA 2004»
13 years 4 months ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
ICASSP
2011
IEEE
12 years 8 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
ICASSP
2008
IEEE
13 years 11 months ago
Evaluation of several strategies for single sensor speech/music separation
In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely ...
Raphaël Blouet, Guy Rapaport, Cédric F...
ESANN
2007
13 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
RSS
2007
151views Robotics» more  RSS 2007»
13 years 6 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard