BLIND SOURCE SEPARATION VIA A WEAK EXCLUSION PRINCIPLE
Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Journal Volume
2022-May
ISBN
9781665405409
Date Issued
2022-01-01
Author(s)
Zihan, Zhang
Abstract
In this paper, we propose a generalized Blind Source Separation (BSS) method using a novel assumption which we call "weak exclusion" principle. We first give the mathematical definition of the exclusion criterion and propose an iterative algorithm to minimize it. We then test WEP in simulated and real datasets, compared with other four methods. The experiments on synthetic and real datasets demonstrate that WEP outperforms the other methods, both in terms of accuracy and in terms of speed.
Subjects
Blind Source Separation | Hyperspectral Images Unmixing | Weak Exclusion Principle
Type
conference paper