62 citations · 176 across the 12 of their papers we have counts for
4 papers · 1 filter
Extracting conditionally heteroscedastic components using ICA
Jari Miettinen, Markus Matilainen, Klaus Nordhausen +1
In the independent component model, the multivariate data is assumed to be a mixture of mutually independent latent components, and in independent component analysis (ICA) the aim…
The squared symmetric FastICA estimator
Jari Miettinen, Klaus Nordhausen, Hannu Oja +2
In this paper we study the theoretical properties of the deflation-based FastICA method, the original symmetric FastICA method, and a modified symmetric FastICA method, here called…
Fourth Moments and Independent Component Analysis
Jari Miettinen, Sara Taskinen, Klaus Nordhausen +1
In independent component analysis it is assumed that the components of the observed random vector are linear combinations of latent independent random variables, and the aim is the…
Separation of uncorrelated stationary time series using autocovariance matrices
Jari Miettinen, Katrin Illner, Klaus Nordhausen +3
Blind source separation (BSS) is a signal processing tool, which is widely used in various fields. Examples include biomedical signal separation, brain imaging and economic time se…