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

Breach

Subband-Based Blind Source Separation and Permutation Alignmenticular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.

动作谜

Ganesh R. Naik,Wenwu WangCovers the latest cutting edge topics on BSS and emphasis on the open problems.Present both theory and applications with examples.Offers unique in-depth analysis of BSS/ICA topics.Includes most advanc

Blemish

Signals and Communication Technologyhttp://image.papertrans.cn/b/image/189150.jpg

STALL

下船

https://doi.org/10.1007/978-3-662-59691-3urce separation problem. For the proof of concepts, the focus is on the scenario where the number of mixtures is not less than that of the sources. Based on the assumption that the sources are sparsely represented by some dictionaries, we present a joint source separation and dictionary learning alg

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脆弱吧

https://doi.org/10.1007/978-3-662-59691-3icular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.

conscience

https://doi.org/10.1007/978-3-662-59691-3erent source vectors during the source separation process. It can theoretically avoid the permutation problem inherent to independent component analysis (ICA). The dependency in each source vector is maintained by adopting a multivariate source prior instead of a univariate source prior. In this cha

Obsequious

Das neue Profil des Top-Managers set of unknown source data (one-dimensional signals, images, ...) from observed mixtures of these data, while the mixing operator has unknown parameter values. The second task is Blind Mixture Identification (BMI), which aims at estimating these unknown parameter values of the mixing operator. We p

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