Sentence examples for using the continuous wavelet from inspiring English sources

The study is carried out by using the continuous wavelet transform (CWT).

In our study we use a method of upscaling geological units, in this case based on assay data, using the continuous wavelet transform (CWT) and tessellation methods.

The vibration modes of the plate are analyzed using the continuous wavelet transform and both the location and depth of the crack are estimated.

Turbulence scales of the velocity components of wind in the atmospheric surface layer are characterized by using the continuous wavelet transform.

The aim of this paper is to propose an effective method for extracting the beat characteristics and modal damping ratios of the bell type structures using the continuous wavelet transform (CWT).

A method based on design transformation and binning is used in order to convert a random design into an equispaced design whose number of points is a power of 2. Using the continuous wavelet transform of the data, we construct a sharp change point estimator and obtain its rate of convergence.

We used the continuous wavelet transforms in order to demonstrate the relationship between planetary wave (PW) activity and temporal variability of the sporadic E-layer parameters during SSW 2008 and SSW 2010.

So, we propose to use the continuous wavelet transform of the measured signal and perform the ridge analysis in order to extract accurately the magnitudes of the incident and the reflected waves for a range of frequencies of interest from the measured wave signal.

Therefore, in our previous method, we used the continuous wavelet transform (CWT) to decompose F0 into 30 discrete scales, each separated by one third of an octave, which can be trained by NNs for prosody modeling in emotional VC.

The second difference is that Murray Murrayy et al., 2002) used the continuous wavelets which are highly redundant, but we are more concerned with discrete sampling rather than continuous functions for protein sequence representation.

The hybrid Multilayer Perceptron Neural Network (MLPNN) and the Radial Basis Function Neural Network (RBFNN) models are developed in this study using both the continuous wavelet and the discrete wavelet transformation types.