scholarly journals Blind separation of jointly stationary correlated sources

2004 ◽  
Vol 84 (2) ◽  
pp. 317-325 ◽  
Author(s):  
M.R. Aghabozorgi ◽  
A.M. Doost-Hoseini
Keyword(s):  
Blind Separation ◽  
Correlated Sources

Blind Separation of Mutually Correlated Sources Using Precoders

2010 ◽  
Vol 21 (1) ◽  
pp. 82-90 ◽  
Author(s):  
Yong Xiang ◽  
Sze Kui Ng ◽  
V.K. Nguyen
Keyword(s):  
Blind Separation ◽  
Correlated Sources

scholarly journals A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach

2008 ◽  
Vol 19 (3) ◽  
pp. 421-430 ◽  
Author(s):  
Petr Tichavsky ◽  
Zbynek Koldovsky ◽  
Arie Yeredor ◽  
German Gomez-Herrero ◽  
Eran Doron
Keyword(s):  
Hybrid Technique ◽  
Blind Separation ◽  
Correlated Sources ◽  
Non Gaussian

scholarly journals Antisparsity as a Prior in Blind Separation of Correlated Sources

2021 ◽  
Author(s):  
Renan Brotto ◽  
Kenji Nose-Filho ◽  
João M. T. Romano
Keyword(s):  
Wireless Communication ◽  
Blind Source Separation ◽  
Source Separation ◽  
Constant Modulus ◽  
Blind Separation ◽  
Constant Modulus Algorithm ◽  
Computational Simulations ◽  
Correlated Sources ◽  
Simulation Results ◽  
Binary Sources

<div>This letter introduces the concept of antisparse Blind Source Separation (BSS), proposing a suitable criterion based on the $\ell_\infty$ norm to explore the antisparsity feature. </div><div>The effectiveness of the criterion is theoretically demonstrated and it is also evaluated by computational simulations, which consider up to ten distinct sources with different correlation levels. Moreover, we simulated a scenario in wireless communication with binary sources, comparing our approach to the Constant Modulus algorithm. Both the theoretical and the simulation results highlight the potentiality of using antisparsity as a prior in BSS.</div>

scholarly journals Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources

2015 ◽  
Vol 63 (5) ◽  
pp. 1199-1213 ◽  
Author(s):  
Jerome Bobin ◽  
Jeremy Rapin ◽  
Anthony Larue ◽  
Jean-Luc Starck
Keyword(s):  
Blind Separation ◽  
Correlated Sources

scholarly journals Antisparsity as a Prior in Blind Separation of Correlated Sources

2021 ◽  
Author(s):  
Renan Brotto ◽  
Kenji Nose-Filho ◽  
João M. T. Romano
Keyword(s):  
Wireless Communication ◽  
Blind Source Separation ◽  
Source Separation ◽  
Constant Modulus ◽  
Blind Separation ◽  
Constant Modulus Algorithm ◽  
Computational Simulations ◽  
Correlated Sources ◽  
Simulation Results ◽  
Binary Sources

<div>This letter introduces the concept of antisparse Blind Source Separation (BSS), proposing a suitable criterion based on the $\ell_\infty$ norm to explore the antisparsity feature. </div><div>The effectiveness of the criterion is theoretically demonstrated and it is also evaluated by computational simulations, which consider up to ten distinct sources with different correlation levels. Moreover, we simulated a scenario in wireless communication with binary sources, comparing our approach to the Constant Modulus algorithm. Both the theoretical and the simulation results highlight the potentiality of using antisparsity as a prior in BSS.</div>

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