A New Criterion for Bounded Component Analysis

Autor: João M. T. Romano, Kenji Nose-Filho, Renan Brotto
Rok vydání: 2021
DOI: 10.36227/techrxiv.16744216
Popis: In this paper we present a new criterion for bounded component analysis, a quite new approach for the Blind Source Separation problem. For the determined case, we show that the `1-norm of the estimated sources can be used as a contrast for the problem. We present a blind algorithm for the source separation of independents sources or mixtures of correlated sources by only a rotation matrix. We also present a variety of simulations assessing the performance of the proposed approach.
Databáze: OpenAIRE