The aim of this paper is to test the Multivariate Linear Parametric Models applied to daily rainfall series. These simple models allow to generate synthetic series preserving both the time correlation (autocorrelation) and the space correlation (crosscorrelation). To have synthetic daily series, in such a way realistic and usable, it is necessary the application of a corrective procedure, remov...

We have attempted to use information theoretic quantities for analyzing neuronal connection structure from spike trains. Two point mu tual information and its maximum value, channel capacity, between a pair of neurons were found to be useful for sensitive detection of crosscorrelation and for estimation of synaptic strength, respectively. Three point mutual information among three neurons could...

During production of glottal stops the glottal vibration has unequal cycles and is caused by laryngealization. While one can perceive the features of laryngealization in the speech, it is difficult to analyse the signal to detect these source features from the standard spectrum-based analysis methods. In this paper we propose methods to extract the voice source vibration characteristics, and sh...

This work presents a novel two-step algorithm to estimate the orientation of speakers in a smart-room environment equipped with microphone arrays. First the position of the speaker is estimated by the SRP-PHAT algorithm, and the time delay of arrival for each microphone pair with respect to the detected position is computed. In the second step, the value of the crosscorrelation at the estimated...

We study [2m−1, 2m]-binary linear codes whose weights lie between w0 and 2m−w0, where w0 takes the highest possible value. Primitive cyclic codes with two zeros whose dual satisfies this property actually correspond to almost bent power functions and to pairs of maximum-length sequences with preferred crosscorrelation. We prove that, for odd m, these codes are completely characterized by their ...

In this paper, we propose an improved method of estimating the positions of two speakers using a microphone array. A well-known method, MUSIC, can be used to estimate speaker positions with high precision. However, in the special case that the speakers are closely located, the conventional MUSIC-based method sometimes fails to identify the existence of certain speakers, because close peaks in t...

Most model-based research in neuroscience is limited to fine grained analysis of single cognitive process. The question how different brain regions interact with each other is a matter of ongoing research and far from being answered. Methods, which unite findings and methods of cognitive modeling and neuroscience are required, in order to obtain greater understanding of cognitive processes of t...

Based on the daily data of American and Chinese stock markets, the dynamic behavior of a financial network with static and dynamic thresholds is investigated. Compared with the static threshold, the dynamic threshold suppresses the large fluctuation induced by the cross-correlation of individual stock prices, and leads to a stable topological structure in the dynamic evolution. Long-range timec...

Fetal ECG extraction has an important role in the medical diagnosis during pregnancy. This problem can be modeled from the approach of blind source extraction. The mathematical modeling of fetal ECG extraction using ICA algorithm is described in this paper. It also proposes an efficient BSS method (FCOMBI) for the extraction of fetal ECG. This algorithm combines the strengths of non-Gaussianity...

A time delay estimation method based on wavelet transform and speech envelope is proposed for distributed microphone arrays. This method first extracts the speech envelopes of the signals processed with multi-level discrete wavelet transform, and then makes use of the speech envelopes to estimate a coarse time delay. Finally it searches for the accurate time delay near the coarse time delay by ...