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Bayesian nonstationary source separation
Neurocomputing, 2008A Bayesian nonstationary source separation algorithm is proposed in this paper to recover nonstationary sources from noisy mixtures. In order to exploit the temporal structure of the data, we use a time-varying autoregressive (TVAR) process to model each source signal.
Qinghua Huang +2 more
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Sparse Source Separation with Unknown Source Number
2010Sparse Blind Source Separation (BSS) problems have recently received some attention. And some of them have been proposed for the unknown number of sources. However, they only consider the overdetermined case (i.e. with more sources than sensors). In the practical BSS, there are not prior assumptions on the number of sources.
Yujie Zhang, Hongwei Li 0003, Rui Qi
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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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Enhancement of Source Independence for Blind Source Separation
2006When exploiting independent component analysis (ICA) to perform blind source separation (BSS), it is assumed that sources are mutually independent. However, in practice, the latent sources are usually dependent to some extent. Fortunately, if the sources are the same type of natural signals, they may be mutually independent in some frequency band, and ...
Kun Zhang 0001, Lai-Wan Chan
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Source control, source separation
2006The reduction of the micropollutant emission into the environment is to be achieved by complementing end-of-pipe advanced wastewater treatment steps in centralized municipal plants with measures taken at the source. A significant reduction in terms of consumed quantities as well as in terms of the ecotoxicity of the selected compounds is feasible if ...
Joss, Adriano +6 more
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Infomax and Maximum Likelihood for Blind Source Separation
IEEE Signal Processing Letters, 1997J -F Cardoso
exaly
Blind Source Separation Based Vibration Mode Identification
Mechanical Systems and Signal Processing, 2007David Chelidze
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A Blind Source Separation Technique Using Second-Order Statistics
IEEE Transactions on Signal Processing, 1997Adel Belouchrani +2 more
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LIGHT SOURCE SEPARATION METHOD, LIGHT SOURCE SEPARATION DEVICE AND LIGHT SOURCE SEPARATION PROGRAM
2021NAKAMURA MITSUKI +2 more
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