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A new method for source separation
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002A new adaptive filtering approach to multichannel source separation is presented. The method is based on an extension of traditional single channel blind equalization. This multichannel extension is presented theoretically and the results are demonstrated by simulation using both communications data and speech.
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Estimating equations for source separation
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002This paper proposes a unifying view of source separation via the concepts of 'estimating function' and 'estimating equation'. We exhibit the estimating functions corresponding to various known techniques like ICA, JADE, infomax, maximum likelihood, cumulant matching, etc...
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Bayesian source separation for cosmology
IEEE Signal Processing Magazine, 2010Recent satellite missions have provided and continue to provide us with vast amounts of data on radiation measurements that generally present themselves as superpositions of various cosmological sources, most importantly cosmic microwave background (CMB) radiation and other galactic and extragalactic sources.
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Blind source separation based vibration mode identification
Mechanical Systems and Signal Processing, 2007David Chelidze
exaly
Do economic incentives affect attitudes to solid waste source separation? Evidence from Ghana
Resources, Conservation and Recycling, 2013Victor Owusu, Cecilia Sundberg
exaly
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing, 1997Adel Belouchrani
exaly
Student support and perceptions of urine source separation in a university community
Water Research, 2016Treavor H Boyer
exaly