Abstract: The algorithm of fast subspace tracking based on the novel information criterion(NIC)is extended to principal component analysis (PCA) by means of the deflation technique.Performances of the novel PCA algorithm and the PASTd algorithm are demonstrated and compared through simulation examples.

Key words: eigenvalue problems, signal subspace tracking, neural network learning