This paper deals with singularities characterisation and detection in Electroglottogram (EGG) signal using wavelet transform modulus maxima. These singularities correspond to glottal opening and closure instants (GOIs and GCIs), Wavelets with one and two vanishing moments are applied to EGG signal. We show that wavelet with one vanishing moment is sufficient to detect singularities of EGG signa...

We introduce the Linear Resource Temporal Network (LRTN), which consists of activities that consume or produce a resource, subject to absolute and relative metric temporal constraints; production and consumption is restricted to linear functions of activity duration. We show how to construct tight bounds for resource availability as a function of time in LRTNs; for a broad class of problems, th...

We perform a systematic study of the enhancement of the transitions ν µ (ν e) → ν e (ν µ;τ), ν 2 → ν e , ¯ ν µ → ¯ ν s , ν e → ν s , etc. of neutrinos passing through a medium of nonperiodic density distribution, consisting of i) two layers of different constant densities (e.g., Earth core and mantle), or ii) three layers of constant density with the first and the third layers having identical ...

A multiscale Canny edge detection is equivalent to finding the local maxima of a wavelet transform. We study the properties of multiscale edges through the wavelet theory. For pattern recognition, one often needs to discriminate different types of edges. We show that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures. Numerical descriptors o...

We propose a mechanism to pin skyrmions in chiral magnetic thin films by introducing local maxima of magnetic exchange strength as pinning centers. The local maxima can be realized by engineering the local density of itinerant electrons. The stationary properties and the dynamical pinning and depinning processes of an isolated skyrmion around a pinning center are studied. We carry out numerical...

Data used for the analysis of shape change has been modeled as non-isotropic Gaussian random elds, and local changes in shape are detected by local maxima of a random eld of test statistics derived from this data. In this paper we use the Sampson & Guttorp (1992) model for non-isotropy in which their exists an unknown mapping of the support of the data to a space in which the random elds are is...