2015
Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small
ICASSP 2015accepted
This paper is concerned with determining the number of correlated signals between two data sets when the number of samples from these data sets is extremely small. In such a scenario, a principal component analysis (PCA) preprocessing step is commonly performed before applying canonical correlation…