Titlebook: Blind Source Separation; Advances in Theory, Ganesh R. Naik,Wenwu Wang Book 2014 Springer-Verlag Berlin Heidelberg 2014 Blind Source Separ

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https://doi.org/10.1007/978-3-663-10659-3detail in this chapter. The novel Generalised Directional Laplacian Density will be derived in order to address the problem of modelling multidimensional angular data. The developed scheme demonstrates robust separation performance along with low processing time.

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Forschungsdesign und methodisches Vorgehen,on, and demonstrate that this leads to improved statistical inference in subsequent supervised analyses. The statistical framework presented here will be of interest to biologists, bioinformaticians and signal processing experts alike.

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Underdetermined Audio Source Separation Using Laplacian Mixture Modellingdetail in this chapter. The novel Generalised Directional Laplacian Density will be derived in order to address the problem of modelling multidimensional angular data. The developed scheme demonstrates robust separation performance along with low processing time.

gnarled

Supervised Normalization of Large-Scale Omic Datasets Using Blind Source Separationon, and demonstrate that this leads to improved statistical inference in subsequent supervised analyses. The statistical framework presented here will be of interest to biologists, bioinformaticians and signal processing experts alike.

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Book 2014arch ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book i

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,Vom Sinn des ?ffentlichen Verwaltens,oblem arising in tracking and detection of DOAs. We consider both narrowband and broadband scenarios. Numerical simulations demonstrate the effectiveness of the proposed algorithm. We found that the proposed algorithm can resolve and track closely spaced DOAs with a small number of sensors.

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