Results 51 to 60 of about 2,415,687 (382)
Joint Time-Frequency And Wavelet Analysis - An Introduction
A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum.
Majkowski Andrzej +2 more
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Local transformations with a singular wavelet
The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparametric approximation of a function is solved by the use of the sequence of local wavelet transforms.
V. M. Romanchak
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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM
Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization ...
Yan Lu, Peijiang Li
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In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
New Algorithm For Calculating Wavelet Transforms [PDF]
In this article we introduce a new algorithm for computing Discrete Wavelet Transforms (DWT). The algorithm aims at reducing the number of multiplications, required to compute a DWT.
Piotr Lipinski, Mykhaylo Yatsymirskyy
doaj
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia +2 more
wiley +1 more source
The curvelet transform for image denoising [PDF]
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and ...
Candès, Emmanuel J. +2 more
core +1 more source
Wavelet transform is a powerful time-frequency-based analysis method often used in gear fault diagnostics. The development of wavelet transform is closely linked to the improvement of resolution.
Trong-Du Nguyen, Phong-Dien Nguyen
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ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Many researchers documented that if stock markets' returns series are significantly skewed, linear-GARCH(1,1) grossly underestimates the forecast values of the returns. However, this study showed that the linear Maximal Overlap Discreet Wavelet Transform
Mohd Tahir Ismail +2 more
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