Subspace estimation by hierarchical neural PCA: analog/digital implementation constraints

This paper addresses the issue of hardware implementation of hierarchical neural principal component analysis (PCA). We attempt to show by experimental studies the effect of finite accuracy computations on the algorithm's performance, for both analog and digital implementation.