Nonlinear blind source separation methods, study of the quadratic case 2x2
type: Dataset
description: This thesis presents blind source separation (BSS) methods for a particular model of mixture, the quadratic one. The first part presents the separating structure (basic and extended versions).The equilibrium points of the structure and their local stability are then studied. We propose two methods of BSS. The first method uses the cumulants and the second is based on a maximum likelihood approach. We validate our results by numerical tests.
issued: 2026-05-23T07:59:24.387861
language: fr
modified: 2026-05-23T07:59:24.387868
contact point: Organization
  fn: CCSD
keyword: analyse-en-composantes-independantes-aci
keyword: blind-source-separation-bss
keyword: cumulants
keyword: independent-component-analysis-ica
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: local-stability
keyword: maximum-de-vraisemblance
keyword: maximum-likelihood
keyword: melange-non-lineaire
keyword: melange-quadratique
keyword: nonlinear-mixtures
keyword: quadratic-mixture
keyword: recurrent-network
keyword: reseau-recurrent
keyword: separation-aveugle-de-sources-sas
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: stabilite-locale
keyword: theses
landing page: https://theses.hal.science/tel-00683204

Nonlinear blind source separation methods, study of the quadratic case 2x2
type: Distribution
format: HTML
issued: 2026-05-23T07:59:24.404569
modified: 2026-05-23T07:59:24.326147
access URL: https://theses.hal.science/tel-00683204

test_moissonnage_selune
type: Agent