Growing interest in Electroencephalogram (EEG) classification brings a need for the development of appropriate analysis and processing techniques. One of the most significant issues associated with EEG analysis is the high contamination of the recorded signals with various artefacts, both from the subject and from equipment interference. This paper discusses the advantages of using temporal Ind...

This article deals with the problem of blind source separation in the case of a linear and instantaneous mixture. We first investigate the behavior of known independent component analysis (ICA) methods in the case where the independence assumption is violated: specific dependent sources are introduced and it is shown that, depending on the source vector, the separation may be successful or not....

We show that for hypergraphs of bounded edge size, the problem of extending a given list of maximal independent sets is NC-reducible to the computation of an arbitrary maximal independent set for an induced sub-hypergraph. The latter problem is known to be in RNC. In particular, our reduction yields an incremental RNC dualization algorithm for hypergraphs of bounded edge size, a problem previou...

Saccades are conjunctive and believed to be the fastest eye movements, which function to redirect the fovea of the retina to the object of interest. Main sequence relations have generally been used for describing the dynamics of the saccadic eye movements. Fourier analysis has also been used in quantitative investigation of saccades. A previous investigation used an inverse method from the Four...

Changes in enzymatic activities in response to carbon starvation were investigated in Arabidopsis thaliana in two distinct experiments. One compares the Columbia ecotype (Col-0) and its starch deficient pgm mutant (plastidial phosphoglucomutase), the other investigates the enzymatic activities of Col-0 under extended night conditions. A classical technique for detecting and visualizing relevant...

The application of auditory steady–state responses (ASSRs) is an objective and frequency specific technique to assess reliable hearing thresholds at audiometric frequencies. Unfortunately, the duration of ASSR measurement can be long, which is unpractical for wide scale clinical application. Therefore, we propose independent component analysis (ICA) as a tool to improve the ASSR detection in re...

We describe an algorithm that performs regularized non-negative matrix factorization (NMF) to find independent components in non-negative data. Previous techniques proposed for this purpose require the data to be grounded, with support that goes down to 0 along each dimension. In our work, this requirement is eliminated. Based on it, we present a technique to find a low-dimensional decompositio...

The aim of this paper is to present an application of ICA to non-destructive evaluation by unsupervised data-fusion, which aims at discovering the flaws affecting a metallic slab. The signals acquired through an eddy-currentprobe for nondestructive evaluation purposes are affected by strong noise and disturbances due to the mechanical system that the probe is mounted on. The availability of mul...

The independent domination number of a graph G, denoted i(G), is the minimum cardinality of a maximal independent set of G. A maximal independent set of cardinality i(G) in G we call an i(G)-set. In this paper we provide a constructive characterization of trees G that have two disjoint i(G)-sets. © 2005 Elsevier B.V. All rights reserved.

Data acquisition for multisite neuron recordings still requires two main problems to be solved — the reliable detection of spikes and the sorting of these spikes back to their originating neurons. Approaches and solutions for both problems are difficult to evaluate quantitatively, due to a lack of knowledge about the “truth behind the experimental data. Biologically realistic simulations allow ...