Use of uni-axial accelerometer is simplest and cost effective way to monitor vibration in a single direction. Situation in which, fault is rotating/changing its direction extraction of defect frequency is difficult from it. However, some of the bursts can be properly analysed. The acoustic sensor is another cost effective device which is generally omnidirectional and can be used in identificati...

Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows one to analyze the pattern of relationships of several categorical dependent variables. As such, it can also be seen as a generalization of principal component analysis when the variables to be analyzed are categorical instead of quantitative. Because MCA has been (re)discovered many times, equiv...

We demonstrate the usefulness of some signalprocessing tools for the EISCAT data analysis. These tools are somewhat less classical than the familiar periodogram, squared modulus of the Fourier transform, and therefore not as commonly used in our community. The first is a stationary analysis, ‘‘Thomson’s estimate’’ of the power spectrum. The other two belong to time-frequency analysis: the short...

This paper examines the class of generalized Morse wavelets, which are eigenfunction wavelets suitable for use in time-varying spectrum estimation via averaging of time-scale eigenscalograms. Generalized Morse wavelets of order (the corresponding eigenvalue order) depend on a doublet of parameters ( , ); we extend results derived for the special case = = 1 and include a proof of “the resolution...

Mild Cognitive Impairment (MCI) is a condition that can occur as person gets older, and faces problems like recognition, memory, language skills. Early detection of MCI crucial, it progress to more severe conditions Alzheimer's disease. This study proposes method use Scalogram images, obtained by applying Continuous Wavelet Transform (CWT) EEG signals pre-trained models ResNet50, VGG16, Incepti...

In this paper, using wavelet scalograms and coscalogram of concurrent biomedical signals we were able to detect their short-lived temporal interactions. The complete analysis should include investigation of signal coherence in amplitude and phase. This is achieved with a continuous complex wavelet transform. Thus, in the algorithms developed, we use the Morlet wavelet transform and some measure...

Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques, such as the Wigner-Ville distribution, ChoiWilliams distribution, spectrogram, and scalogram, for the purpose of analyzing low probability of intercept radar signals (e.g. triangular modulated frequency modulated continuous wave and frequency shift keying)....

This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using waveletbased transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the harmonics presented in a power signal. A frequency detection algorithm is developed from the wavelet scalogram and ridges. A necessary condition is es...

This research investigated the utility and practicality of dependency grids for capturing and presenting the dependency distribution patterns of three adolescents with autism spectrum disorder. The investigation also involved family members to explore their level of awareness of the adolescents' dependency preferences. The grids were analyzed using a range of measures, including the uncertainty...