A Convolutive Bounded Component Analysis Framework for Potentially Nonstationary Independent and/or Dependent Sources

2015 ◽  
Vol 63 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Huseyin A. Inan ◽  
Alper T. Erdogan
Keyword(s):  
Component Analysis ◽  
Analysis Framework ◽  
Bounded Component ◽  
Dependent Sources

Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm

2013 ◽  
Vol 20 (7) ◽  
pp. 709-712 ◽  
Author(s):  
P. Aguilera ◽  
S. Cruces ◽  
I. Duran-Diaz ◽  
A. Sarmiento ◽  
D. P. Mandic
Keyword(s):  
Component Analysis ◽  
Blind Separation ◽  
Bounded Component ◽  
Dependent Sources

scholarly journals A new proof of a contrast function for bounded component analysis and further analysis

2018 ◽  
Vol 51 ◽  
pp. 93-109
Author(s):  
Wei Gao ◽  
Shen Fan ◽  
Roberto Togneri ◽  
Victor Sreeram
Keyword(s):  
Component Analysis ◽  
Contrast Function ◽  
Bounded Component

scholarly journals A New Criterion for Bounded Component Analysis

2021 ◽  
Author(s):  
Renan Brotto ◽  
Kenji Nose-Filho ◽  
João M. T. Romano
Keyword(s):  
Blind Source Separation ◽  
Source Separation ◽  
Component Analysis ◽  
Rotation Matrix ◽  
Separation Problem ◽  
Correlated Sources ◽  
New Approach ◽  
Bounded Component ◽  
New Criterion

<div>In this paper we present a new criterion for bounded component analysis, a quite new approach for the Blind Source Separation problem. For the determined case, we show that the `1-norm of the estimated sources can be used as a contrast for the problem. We present a blind algorithm for the source separation of independents sources or mixtures of correlated sources by only a rotation matrix. We also present a variety of simulations assessing the performance of the proposed approach.</div>

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