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In this paper we present a solution for the classification of different patterns from seismic signals generated by different human activities for which an automatic recognition is required. Some a priori known signals were available, which gave us the possibility to represent them in feature space in order to capture their global characteristics. The classification of signals is based on computing...
This paper presents a new method for establishing the series and parallel resistors for the one-diode model of a PV panel. The proposed method uses only the PV panel data that are provided by the manufacturer to train a feed-forward neural network that computes the values of the two resistors. The developed model is validated by comparing it to a classic one diode model whose resistors are determined...
The paper introduces a new hardware description language, especially designed to be extremely concise compared to the VHDL language. Its purpose is to allow the designer to tackle the problem of digital circuit prototyping in a faster, more compact, uniform and higher-level manner. The proposed language reduces the syntax redundancy and facilitates the rapid description of frequently used functionalities...
This paper highlights the main results of our research in the field of recurrence plot analysis in the last five years. It briefly discusses results in the study of the method itself, as well as in some applications of it, i.e. characterization of speech signals, detection and localization of partial discharges in electric cables, representation of transient signals, estimation of signal parameters,...
The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation,...
Burst-type signals constitute an important class of transient signals, being used especially in the investigation of various physical environments by electric or acoustic means. An important issue in the analysis of this type of signals is their detection in time. In this paper, we propose a detection method that is based on the histogram of the phase space distributed over time. The method consists...
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