Juha Karhunen

Independent Component Analysis

Representation and separation of signals using nonlinear PCA type learning

A class of neural networks for independent component analysis

Independent component analysis (ICA) is a recently developed, useful extension of standard principal component analysis (PCA). The ICA model is utilized mainly in blind separati...

An Experimental Comparison of Neural ICA Algorithms

Delay Estimation in CDMA Communications Using A FastICA Algorithm

Zinc concentration was lower in liver of suckling 1-d-old lethal milk (lm/lm) mutant mice than in wild-type pups, in accordance with the hypothesis of milk-induced zinc deficien...

Independent Component Analysis

In this chapter, we discuss a statistical generative model called independent component analysis. It is basically a proper probabilistic formulation of the ideas underpinning sp...