Blind source separation for the analysis sparse model

Author:

Ma Shuang,Zhang Hongjuan,Miao Zhuoyun

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference34 articles.

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2. Bell A, Sejnowski T (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7(6):1129–1159

3. Gaeta M, Lacoume JL (1990) Source separation without prior knowledge: the maximum likelihood solution. In: Proceeding EUSIPCO’90, pp 621–624

4. Belouchrani A, Cardoso JF (1994) Maximum likelihood source separation for discrete sources. In: Proceeding EUSIPCO’94, pp 768–771

5. Montoya-Martínez J, Cardoso JF, Gramfort A (2017) Caveats with stochastic gradient and maximum likelihood based ica for eeg. Lecture Note Computer Sci 10169:279–289

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