# Joint nonstationary blind source separation and spectral analysis

## TL;DR

This paper presents a novel algorithm for jointly separating nonstationary sources from mixed signals and estimating their spectral properties and nonstationarity, demonstrated on synthetic data.

## Contribution

It introduces a new method for simultaneous blind source separation and spectral analysis in nonstationary environments.

## Key findings

- Successful separation of nonstationary sources in synthetic tests
- Effective estimation of spectral properties and deformations
- Potential applicability to real-world nonstationary signal processing

## 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.