Blind polarization identification and demultiplexing using statistical learning

We propose a blind technique to identify the number of polarization in an optical signal using Principal Component Analysis (PCA). Experimental results verifying the proposed technique are presented. Additionally, the relation between PCA and Independent Component Analysis (ICA) are discussed.