2018arXiv (Cornell University)Open access

Joint nonstationary blind source separation and spectral analysis

Adrien Meynard

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Abstract

We address a nonstationary blind source separation (BSS) problem. The model includes both nonstationary sources and mixing. Therefore, we introduce an algorithm for joint BSS and estimation of stationarity-breaking deformations and spectra. Finally, its performances are evaluated on a synthetic example.

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What this paper is about

We address a nonstationary blind source separation (BSS) problem. The model includes both nonstationary sources and mixing. Therefore, we introduce an algorithm for joint BSS and estimation of stationarity-breaking deformations and spectra. Finally, its performances are evaluated on a synthetic example.

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Available abstract

We address a nonstationary blind source separation (BSS) problem. The model includes both nonstationary sources and mixing. Therefore, we introduce an algorithm for joint BSS and estimation of stationarity-breaking deformations and spectra. Finally, its performances are evaluated on a synthetic example.

Key concepts: Blind signal separation, Joint (building), Mixing (physics), Source separation, Computer science, Separation (statistics), Algorithm, Speech recognition

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