annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...

objective: it has been recognized that sleep has an important effect on emotion processing. the aim ‎of this study was to investigate the effect of previous night sleep duration on autonomic ‎responses to musical stimuli in different emotional contexts.‎ method: a frequency based measure of gsr, pr and ecg signals were examined in 35 healthy ‎students in three groups of oversleeping, lack of sl...

The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide] efficient traffic regulation. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised a multi-agent architecture, the Adaptive and Cooperative Traffic light Agent Model (ACTAM), for...

Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation.   Introduction: The...

Graphons are infinite-dimensional objects that represent the limit of convergent sequences graphs as their number nodes goes to infinity. This paper derives a theory graphon signal processing centered on notions Fourier transform and linear shift invariant filters, counterparts graph filters. It is shown for associated signals: (i) converges when bandlimited; (ii) spectral vertex responses filt...