[PDF][PDF] Blind source separation and independent component analysis: A review
Blind source separation (BSS) and independent component analysis (ICA) are generally
based on a wide class of unsupervised learning algorithms and they found potential …
based on a wide class of unsupervised learning algorithms and they found potential …
Independent EEG sources are dipolar
Independent component analysis (ICA) and blind source separation (BSS) methods are
increasingly used to separate individual brain and non-brain source signals mixed by …
increasingly used to separate individual brain and non-brain source signals mixed by …
EEG signal-processing framework to obtain high-quality brain waves from an off-the-shelf wearable EEG device
Investigating brain waves collected by an electroencephalogram (EEG) can be useful in
understanding human psychosocial conditions such as stress, emotional exhaustion …
understanding human psychosocial conditions such as stress, emotional exhaustion …
Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
Objective: To propose a noise reduction procedure for magnetoencephalography (MEG)
signals introducing an automatic detection system of artifactual components (ICs) separated …
signals introducing an automatic detection system of artifactual components (ICs) separated …
Provable ICA with unknown Gaussian noise, with implications for Gaussian mixtures and autoencoders
We present a new algorithm for Independent Component Analysis (ICA) which has provable
performance guarantees. In particular, suppose we are given samples of the form $ y …
performance guarantees. In particular, suppose we are given samples of the form $ y …
Artifact removal in magnetoencephalogram background activity with independent component analysis
The aim of this study was to assess whether independent component analysis (ICA) could
be valuable to remove power line noise, cardiac, and ocular artifacts from …
be valuable to remove power line noise, cardiac, and ocular artifacts from …
Robust multi-logo watermarking by RDWT and ICA
TD Hien, Z Nakao, YW Chen - Signal Processing, 2006 - Elsevier
This paper proposes a new approach to watermarking multimedia products by redundant
discrete wavelet transform (RDWT) and independent component analysis (ICA). For …
discrete wavelet transform (RDWT) and independent component analysis (ICA). For …
[PDF][PDF] Blind signal processing methods for analyzing multichannel brain signals
A Cichocki - International Journal of Bioelectromagnetism, 2004 - academia.edu
A great challenge in neurophysiology is to asses non-invasively the physiological changes
occurring in different parts of the brain. These activation can be modeled and measured …
occurring in different parts of the brain. These activation can be modeled and measured …
An application of the independent component analysis to monitor acoustic emission signals generated by termite activity in wood
JJG de la Rosa, CG Puntonet, I Lloret - Measurement, 2005 - Elsevier
In this paper an extended robust independent components analysis (ERICA) algorithm
based on cumulants is applied to identify vibrational alarm signals generated by soldier …
based on cumulants is applied to identify vibrational alarm signals generated by soldier …
Blind source separation and blind equalization algorithms for mechanical signal separation and identification
PW Tse, JY Zhang, XJ Wang - Journal of Vibration and …, 2006 - journals.sagepub.com
Many advanced techniques have been developed for diagnosis of machine faults caused by
vibration. They are effective if the inspected vibration is well isolated from interference …
vibration. They are effective if the inspected vibration is well isolated from interference …