Morlet continuous wavelet transform
Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform
... Abstract Morlet continuous wavelet transform (MCWT) has been widely used to process non-stationary electro- encephalogram (EEG) data. Nowadays, the MCWT applica- tion for processing EEG data ...
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Fringe pattern analysis using a one dimensional modified Morlet continuous wavelet transform
... complex Morlet wavelet and secondly with the modified Morlet ...complex Morlet wavelet behaves much better than the conventional ...Morlet wavelet. These errors are ...
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Enhanced identification of damping using continuous wavelet transform
... A continuous wavelet transform (CWT) based on the Gabor wavelet function is used to identify the damping of a multi-degree-of-freedom ...the wavelet function method, the equivalent ...
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Spatial-Mode-Shape Identification using a Continuous Wavelet Transform
... the Morlet wavelet function, Slavič et ...Gabor wavelet function and focusing it on the edge effect and the relatively short ...Gabor wavelet have been studied in detail by Simonovski and ...
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Elementary Time Frequency Analysis of EEG Signal Processing
... the wavelet transform using Morlet window and its histogram analysis which provide the statistical data of mean, standars deviation, median etc for all sampled values of EEG ...its continuous ...
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A Modified Speech Enhancement Algorithm Based on the Continuous Wavelet Transform
... uses continuous wavelet transforms ...the Morlet wavelet scaled at various ...the Morlet wavelet scaled at the same frequencies as it was done for the forward CWT computation and ...
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The Continuous Wavelet Transform for A Bessel Type Operator on the Half Line
... In the classical framework, the notion of wavelets was first introduced by J. Morlet a French petroleum en- gineer at ELF-Aquitaine, in connection with his study of seismic traces. The mathematical foundations were ...
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New results on the continuous Weinstein wavelet transform
... In the classical setting, the notion of wavelets was first introduced by Morlet, a French petroleum engineer at ELF-Aquitaine, in connection with his study of seismic traces. The mathematical foundations were given ...
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3.Calderon-reproducing formula for the continuous Wavelet transform related to the Weinstein operator
... Fourier transform associated with the Weinstein operator. This transform is called the Weinstein ...for wavelet transforms associated with the Weinstein oper- ator; this transform was first ...
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Investigation of the Relations between Crude Oil Prices and Real Effective Exchange Rate (REER) in Iran using Phase-Angle Analysis
... the continuous wavelet (Morlet) ...Since continuous wavelet (Morlet) transform has the ability to decompose time series to real and imaginary parts, it provides ...
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Dual Tree Complex Wavelet Transform for Medical Image Fusion
... un-decimated wavelet transform still cannot distinguish between opposing diagonals since the transform is still ...complex wavelet filters which can be made to suppress negative frequency ...
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Homogeneous approximation property for continuous shearlet transforms in higher dimensions
... This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the ...
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Denoising of Poisson and Rician Noise from Medical Images using Variance Stabilization and Multiscale Transforms
... Discrete wavelet transform, Un- decimated wavelet transform, Dual tree Complex wavelet trans- form, Double Density discrete wavelet transform and Double den- sity dual ...
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Simulation Design of DWT Architecture for Rea...
... the wavelet coefficients and those filters are recurrently used to obtain data for all the ...discrete wavelet transform. Discrete wavelet transform in 2D can be accessed using DWT ...
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Dunkl wavelets and applications to inversion of the Dunkl intertwining operator and its dual
... The contents of this paper are as follows. In Section 2, we define and study the Dunkl intertwining operator and its dual. Section 3 is devoted to Dunkl wavelets and associ- ated Dunkl wavelet transforms. In the ...
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A New Approach to Continuous Riesz Bases
... with continuous frames and continuous Riesz ...introduce continuous Riesz bases and give some equivalent conditions for a continuous frame to be a continuous Riesz ...a ...
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Polarization analysis of a Pi2 pulsation using continuous wavelet transform
... The continuous wavelet used in our approach is not crit- ical for understanding the presented ...Fourier transform or the typical dy- namic spectrum can be very helpful in the analysis of ge- ...
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Forecast of fund volatility using least squares wavelet support vector regression machines
... three wavelet kernels functions are all superior to the Gaussian-kernel LS-SVR in term of volatility forecasting ...based Morlet kernel function offers better volatility forecasting performance than LS-WSVR ...
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Implementation of Psychoacoustic model in Audio Compression using Munich and Gammachirp Wavelets
... appropriate wavelet packet decomposition instead of Short Term Fourier ...Transformation. Wavelet transform can be efficiently used to represent human speech with less number of bits that can be ...
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Localization of Phase Spectrum Using Modified Continuous Wavelet Transform
... Windowed Continuous Wavelet Transform (CWT) for localization of phase ...proposed transform provide a frequency-dependent resolution while maintaining a relationship with the Windowed Fourier ...
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