Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...

The suitability of wavelet transforms (WT) for use in image analysis is well established: a representation in terms of the frequency content of local regions over a range of scales provides an ideal framework for the analysis of image features, which in general are of di erent size and can often be characterised by their frequency domain properties [1]. However, the standard form of wavelet dec...

in this paper, the effect of penicillin g drug as a green corrosion inhibitor on mild steel in 1.0 mhydrochloric acid solution has been investigated using potentiodynamic polarization, electrochemicalimpedance spectroscopy (eis) and electrochemical noise (en) techniques. the inhibition efficiencywas found to increase with increasing inhibitor concentration. potentiodynamic polarizationmeasureme...

In this study, the effect of earthquake frequency content and noise effects on damage detection has been investigated. For this purpose, the damage was defined as nonlinear behavior of beams and columns, and several ground motion records were scaled so that some elements yield under the applied excitation. Then the acceleration response data of each floor obtained using the nonlinear dynamic an...

A wavelet analysis, in the context of multiresolution. is performed to study the distribution of matter in the universe at extragalactic scales. Specifically, a threedimensional Haar system is used to extract statistical properties of large-scale structure. Despite the simplicity of the wavelet form, the method is effective for identifying general properties of gravitational clustering phenomen...

This paper presents the Fourier and wavelet characterization of vibratio...

In this work, the triple convolution of Daubechies wavelet is used to solve the three dimensional (3D) microscale Dual Phase Lag (DPL) problem. Also, numerical solution of 3D time-dependent initial-boundary value problems of a microscopic heat equation is presented. To generate a 3D wavelet we used the triple convolution of a one dimensional wavelet. Using convolution we get a scaling function ...