By Topic

Nonsymmetrical contrasts for sources separation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Moreau, E. ; MS-GESSY, Inst. des Sci. de I''Ingenieur de Toulon et du Var, La Valette du Var, France ; Thirion-Moreau, Nadege

In this paper, the problem of the blind separation of independent sources is considered. Our approach relies on high-order inverse criteria. After generalizing the definition of classical contrast functions, we exhibit a wide class of generally nonsymmetrical functions that will be called “generalized contrasts” and whose maximization is proved to be a sufficient condition for source separation. We also establish a connection with “cumulant matching,” showing an equivalence between the two approaches. Then, in the case of two sources, a statistical study of the estimated parameter based on one of these new contrasts is presented. Finally, computer simulations illustrate the results and demonstrate all the interest we can find in considering a nonsymmetrical contrast

Published in:

Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 8 )