Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Study of a simple single-trace transmission example shows how an extended source formulation full-waveform inversion can produce optimization problem without spurious local minima ("cycle skipping"), hence efficiently solvable via Newton-like methods. The data consist single trace extracted from causal pressure field, propagating in homogeneous fluid according to linear acoustics, and recorded ...

With the development of the technology and increase of human dependency on structures, healthy structures play an important role in people lives and communications. Hence, structural health monitoring has been attracted strongly in recent decades. Improvement of measuring instruments made signal processing as a powerful tool in structural heath monitoring. Wavelet transform invention causes a g...

This paper investigates the flow field around a NACA (National Advisory Committee for Aeronautics) 0012 airfoil undergoing pure pitching motion using continuous wavelet transform. Wind tunnel experiments were performed with test-stand that provides wide range of oscillation frequencies (f = 0–10 Hz). Sinusoidal was considered respect to quarter chord five reduced (K 0.05, 0.1, 0.15, 0.2, and 0....

In this paper, we derive a novel numerical method to find out the numerical solution of fractional partial differential equations (PDEs) involving Caputo-Fabrizio (C-F) fractional derivatives. We first find out the approximation formula of C-F derivative of function tk. We approximate the C-F derivative in time with the help of the Legendre spectral method and approximation formula o...

Abstract This paper provides an assessment of the possibilities and advantages using wavelet analysis methods in study regional mechanisms climate formation Arctic region by analyzing relationship between values air temperature anomalies at Earth's surface North Atlantic Oscillation index. It is shown that climatic indices have certain for identifying cyclical changes characteristics on local t...

The paper presents a versatile library of analytic and quasi-analytic complex-valued wavelet packets (WPs) which originate from discrete splines arbitrary orders. real parts the WPs are regular spline-based orthonormal designed in [4]. imaginary so-called complementary WPs, which, unlike symmetric they antisymmetric. Tensor products 1D provide diversity 2D oriented multiple directions. computat...

Background: Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the muscle contraction. Hence, accurate estimation of a MUP template for each MU is crucial. Objective: To investigate the possibility of improv...

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 ...

This article presents an analytic approach to study admissibility conditions related to classical full wavelet systems over finite fields using tools from computational harmonic analysis and theoretical linear algebra. It is shown that for a large class of non-zero window signals (wavelets), the generated classical full wavelet systems constitute a frame whose canonical dual are classical full ...