S\'eparation de sources doublement non stationnaire
Abstract
Blind source separation (BSS) techniques aims at joint estimation of source signals and a mixing matrix from observations of mixtures. This paper addresses a doubly nonstationary BSS problem, where the mixing matrix is time dependent and sources are nonstationary, more precisely deformed stationary signals, following the model of [1]. An algorithm for joint BSS and estimation of stationarity-breaking deformations and spectra is introduced, that exploits suitable approximations for the behavior of the wavelet transform of such nonstationary signals. The performance of the approach is evaluated on numerical simulations, and compared with other nonstationary BSS algorithms.
Cite
@article{arxiv.1906.09950,
title = {S\'eparation de sources doublement non stationnaire},
author = {Adrien Meynard},
journal= {arXiv preprint arXiv:1906.09950},
year = {2019}
}
Comments
in French. GRETSI 2019 - XXVII{\`e}me Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France