62 citations · 189 across the 6 of their papers we have counts for
6 papers
Graph Signal Processing Meets Blind Source Separation
Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov +1
In graph signal processing (GSP), prior information on the dependencies in the signal is collected in a graph which is then used when processing or analyzing the signal. Blind sour…
Modelling Graph Errors: Towards Robust Graph Signal Processing
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
The first step for any graph signal processing (GSP) procedure is to learn the graph signal representation, i.e., to capture the dependence structure of the data into an adjacency…
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…