A new convolutive source separation approach for independent/dependent source components

Author:

Mamouni N.,Keziou A.ORCID,Fenniri H.,Ghazdali A.,Hakim A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference47 articles.

1. Ica if fmri based on a convolutive mixture model;Hansen,2003

2. Complex independent component analysis of frequency-domain electroencephalographic data;Anemüller;Neural Netw.,2003

3. An iterative inversion approach to blind source separation;Cruces-Alvarez;IEEE Trans. Neural Netw.,2000

4. Blind separation of underwater acoustic signals;Mansour,2006

5. The cocktail party problem;Haykin;Neural Comput.,2005

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2. Frequency-Domain Convolutive Bounded Component Analysis Algorithm for the Blind Separation of Dependent Sources;IEEE Transactions on Instrumentation and Measurement;2023

3. Statistically Dependent Blind Signal Separation under Relaxed Sparsity;IEEE Signal Processing Letters;2023

4. Blind Separation of Dependent Sources Using Copula;Springer Proceedings in Mathematics & Statistics;2021

5. Blind Noisy Mixture Separation for Dependent Sources;Springer Proceedings in Mathematics & Statistics;2021

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