Joint decorrelation, a versatile tool for multichannel data analysis

NeuroImage

Volumn 98, Issue , 2014, Pages 487-505

  De Cheveigné, Alain ^a,b,c   Parra, Lucas C ^d  

^a CNRS   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d City College New York   (United States)

Author keywords

Artifact rejection; Blind source separation (BSS); Common spatial pattern (CSP); Denoising; Denoising source separation (DSS); Electrocorticography (ECoG); Electroencephalography (EEG); Independent component analysis (ICA); Joint diagonalization; Local field potential (LFP); Magnetoencephalography (MEG); Multielectrode array; Noise reduction; Optical imaging; Principal component analysis (PCA); Simultaneous diagonalization; Time domain source separation (TDSEP)

Indexed keywords

ALGORITHM; ANALYTICAL ERROR; BRAIN FUNCTION; DATA ANALYSIS; ELECTROCORTICOGRAPHY; ELECTROMYOGRAPHY; EVOKED RESPONSE; FLUORESCENCE IMAGING; MAGNETOENCEPHALOGRAPHY; NARROW BAND IMAGING; PRIORITY JOURNAL; REVIEW; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; ARTIFACT; BRAIN; ELECTRODIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMAN; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; STATISTICAL MODEL;

ARTIFACTS; BRAIN; ELECTRODIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, STATISTICAL; OPTICAL IMAGING; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO;

EID: 84904101722     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.05.068     Document Type: Review

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