The purpose of this work is to develop a new strategy for filtering transmitted (or received) noisy data signals with minimum loss of information, which can be implemented efficiently. This strategy consists of a wavelet domain filtering that combines a discrete wavelet transform based decomposition phase and a wavelet coefficients shrinkage phase. Data-like signals are generated, white noise i...

although elzaki transform is stronger than sumudu and laplace transforms to solve the ordinary differential equations withnon-constant coefficients, but this method does not lead to finding the answer of some differential equations. in this paper, a method is introduced to find that a differential equation by elzaki transform can be ‎solved?‎

An efficient method of transforming a discrete Fourier transform (DFT) into a constant Q transform, where Q is the ratio of center frequency to bandwidth, has been devised. This method involves the calculation of kernels that are then applied to each subsequent DFT. Only a few multiples are involved in the calculation of each component of the constant Q transform, so this transformation adds a ...

speech compression is the digital signal which is compressed by using various techniques for transmission. This paper explains a transform methodology for compression of the speech signal. In this paper speech is compressed by discrete wavelet transform technique afterward compressed signal is again compressed by discrete cosine transform afterward compressed signal is decompressed by discrete ...

In this paper, a three Degrees of Freedom (DOF) model of a quarter vehicle suspension system is proposed including the seat driver mass. The modal parameters of this system, which indicate the comfort and the safety of the suspension, are identified using Wavelet analysis. Two applications of wavelet analysis are presented: signal denoising based on the Discrete Wavelet Transform (DWT) and moda...

This paper presents a new approach for human cataract automatical detection based on ultrasound signal processing. Two signal decomposition techniques, empirical mode decomposition and discrete wavelet transform are used in the presented method. Performance comparison of these two decomposition methods when applied to this specific ultrasound signal is given. Described method includes ultrasoni...

This paper presents a nonlinear extension of the affine transform as used in the iterated function systems (IFS) to compress signals and data. Compared with ∅ien and Nårstad’s orthogonal transform with compression ratio of 6.0:1 for the electrocardiogram (ECG) signal, the nonlinear approach produces higher compression ratios of 10.2:1, and is more flexible in finding the corresponding strange a...

This paper proposes a novel progressive image compression algorithm using the nonlinear contourlet transform. Contourlets are effective in capturing directional information in images using a flexible set of basis functions that are elongated and directional. Since the contourlet transform is redundant, a wavelet based contourlet transform has been applied on the image. The wavelet based contour...

in this work, ag-cu nanoparticles (with different percentages of copper, 10%, 25%, 50%, 75% cu) were synthesized by wet chemical method. copper(ii) sulfate and silver nitrate were taken as metal precursors, ascorbic acid as reducing agent and anhydride maleic (ma) as a modifier. the prepared nanoparticles were characterized by means of x-ray diffraction (xrd) technique and scanning electron mic...

in this study, copper chromite (cucr2o4) nanoparticles was prepared by inverse co-precipitation method. in this method, cupric nitrate trihydrate, (cu (no3)2.3h2o) and chromium nitrate nonahydrate, (cr (no3) 3.9h2o) with a mole ratio of 1:2 were used. characterization of cucr2o4 nanoparticles was performed by fourier transform infrared spectroscopy (ft-ir), raman spectroscopy, x-ray diffraction...