On extending the complex FastICA algorithms to noisy data
type: Item
instance of: scholarly article
title: On extending the complex FastICA algorithms to noisy data
zbMATH Open document ID: 1353.94020
author: Zongli Ruan
author: Liping Li
author: Guobing Qian
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 15A99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6505430
zbMATH Keywords: independent component analysis (ICA)
zbMATH Keywords: noisy data
zbMATH Keywords: complex fast fixed-point algorithm
zbMATH Keywords: pseudo-whitening
zbMATH Keywords: stability condition
MaRDI profile type: Publication
full work available at URL: j.neunet.2014.08.013
OpenAlex ID: W2047224064
Wikidata QID: Q35268508
cites work: Complex ICA Using Nonlinear Functions
cites work: Independent component analysis, a new concept?
cites work: Enhanced automatic artifact detection based on independent component analysis and Rényi's entropy
cites work: On Extending the Complex FastICA Algorithm to Noncircular Sources
cites work: A Complex Generalized Gaussian Distribution— Characterization, Generation, and Estimation
cites work: A Bayesian inverse solution using independent component analysis
DBLP publication ID: journals/nn/RuanLQ14
DOI: 10.1016/J.NEUNET.2014.08.013
description: scientific article; zbMATH DE number 6505430