The main objective of this study was to enhance the performance of sleep stage
classification using single-channel electroencephalograms (EEGs), which are highly …

Advances in materials engineering, electronic circuits, sensors, signal processing and
classification techniques have allowed computational systems to interpret biological …

Purpose The purpose of this work is to present the implementation of weighted essentially
non-oscillatory (WENO) wavelet methods for solving multiphase flow problems. The …

An acoustic–seismic mixed feature extraction method based on the wavelet coefficient
energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle …

The proposed methodology combines Daubechies (Db2) wavelet transform and the
statistical parameters, skewness and kurtosis, for the detection of microcalcifications in …

Electrophysiological recordings of event-related potential P300 reveal transient information
contained in electroencephalogram, hel** to diagnose individuals that are predisposed to …

Optimum compression ratio (OCR) of neutron and x-ray radiography images with minimum
decomposition distortion is the main target of this paper. Artificial bee colony (ABC) and …

Objective The aim of this study was to use a wavelet technique to determine whether the
number of suicides is similar between developed and emerging countries. Methods Annual …

Um método de extração de características e reconhecimento de padrões de imagens de
tomografia de pulmão é proposto a partir da aplicação da transformada wavelet de Haar 2D …

Because the speckle noise of SAR image is non-Gaussian distribution, it cannot be directly
processed by the denoising technology of the optical imaging system. At present, there is no …