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Communication Dans Un Congrès Année : 2006

On the identifiability testing in blind source separation using resampling technique

Résumé

This paper focuses on the second order identifiability problem of blind source separation and its testing. We present first necessary and sufficient conditions for the identifiability and partial identifiability using a finite set of correlation matrices. These conditions depend on the autocorrelation fonction of the unknown sources. However, it is shown here that they can be tested directly from the observation through the decorrelator output. This issue is of prime importance to decide whether the sources have been well separated or else if further treatments are needed. We then propose an identifiability testing based on resampling (jackknife) technique, that is validated by simulation results.
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Dates et versions

hal-01772686 , version 1 (20-04-2018)

Identifiants

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Abdeldjalil Aissa El Bey, Karim Abed-Meraim, Yves Grenier. On the identifiability testing in blind source separation using resampling technique. Independent Component Analysis and Blind Signal Separation (ICA), Mar 2006, Charleston, United States. pp.755-764, ⟨10.1007/11679363_94⟩. ⟨hal-01772686⟩
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