Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 3452-3456

  Song, Yang ^a   Schreier, Peter J ^a   Roseveare, Nicholas J ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

Bartlett Lawley statistic; canonical correlation analysis; model order selection; principal component analysis; small sample support

Indexed keywords

AUDIO SIGNAL PROCESSING; CORRELATION METHODS; SPEECH COMMUNICATION;

CANONICAL CORRELATION ANALYSIS; CORRELATED SIGNALS; DIMENSION REDUCTION; HYPOTHESIS TESTS; MODEL-ORDER SELECTION; NUMBER OF SAMPLES; PRE-PROCESSING STEP; SMALL SAMPLE SUPPORT;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84946067075     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178612     Document Type: Conference Paper

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