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
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3df144a4da9526157d02030b4ffa1c https://doi.org/10.36227/techrxiv.16744216 Zobrazit plný text záznamu