This paper present the features extraction of the real time voltage signal performed by S-Transform analysis for the purpose of detection and classification of PQ disturbance, which focus on voltage sag, voltage swell and transient. The extracted features will be used as a parameter in detecting and classifying the single and multiple PQ disturbances. As for validation purpose, the real time S-...

Asymptotic expansions of the wavelet transform for large and small values of the translation parameter b are obtained using asymptotic expansions of the Fourier transforms of the function and the wavelet. Asymptotic expansions of Mexican hat wavelet transform, Morlet wavelet transform, and Haar wavelet transform are obtained as special cases. Asymptotic expansion of the wavelet transform has al...

This paper exploited the various mother wavelets for fault detection. A different value of fault resistances analyzed on different types of mother wavelets. Comparisons are made based on the sum of coefficients in multi resolution signal decomposition (MSD) using Discrete Wavelet Transform (DWT). Based on the extensive investigations on different value of fault resistance in Line-Ground (L-G) f...

In this paper we draw links between the widely used gammatone lter auditory model and wavelet theory. From the viewpoint of wavelet theory the beneet from linking these research elds is a fast method for the computation of a timescale representation. From the viewpoint of auditory ltering the beneets are the existence of methods for the detection of signal singularities and for resynthesis. Our...

In the study, we discussed the generalized autoregressive conditional heteroskedasticity model and enhanced it with wavelet transform to evaluate the daily returns for 1/4/2002-30/12/2011 period in Brent oil market. We proposed discrete wavelet transform generalized autoregressive conditional heteroskedasticity model to increase the forecasting performance of the generalized autoregressive cond...

In this paper, we present the advantages of Maximum overlapping Discrete Wavelet Transform (MODWT) in improving the forecasting accuracy financial time series data. Amman stock market (ASE) in Jordan was selected as a tool to show the ability of MODWT in forecasting financial time series, using Banking sector. Experimentally, this article suggests a novel technique for forecasting the banking d...