Results 41 to 50 of about 15,236 (179)
Alexandria Engineering JournalThe research focuses on exploring the characteristics of the Lane Emden equation, which is a second-order ordinary differential equation that has its roots in astrophysics.
Jaya Gupta, Ratesh Kumar, Homan Emadifar
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Measurement Science Review, 2015 Non–integer order differentiation is changing application of traditional differentiation because it can achieve a continuous interpolation of the integer order differentiation. However, implementation of the non–integer order differentiation is much more
Li Yuanlu +4 more
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A Multiscale Guide to Brownian Motion
, 2015 We revise the Levy's construction of Brownian motion as a simple though still rigorous approach to operate with various Gaussian processes. A Brownian path is explicitly constructed as a linear combination of wavelet-based "geometrical features" at ...
Beliaev, Dmitry +2 more
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A Comparative Study on Wavelet and EMD Methods for Remote detection of Rotational Imbalance
Electrical Engineering and EnergyThis paper presents a radar-driven method for detecting rotational imbalance in machinery using multi-resolution signal processing and machine learning.
Yunus Emre Acar
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Approximate Solutions of Time Fractional Diffusion Wave Models
Mathematics, 2019 In this paper, a wavelet based collocation method is formulated for an approximate solution of (1 + 1)- and (1 + 2)-dimensional time fractional diffusion wave equations.
Abdul Ghafoor +4 more
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Haar–Fisz Estimation of Evolutionary Wavelet Spectra [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2006 SummaryWe propose a new ‘Haar–Fisz’ technique for estimating the time-varying, piecewise constant local variance of a locally stationary Gaussian time series. We apply our technique to the estimation of the spectral structure in the locally stationary wavelet model. Our method combines Haar wavelets and the variance stabilizing Fisz transform.
Fryzlewicz, Piotr, Nason, Guy P.
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Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran [PDF]
Journal of Sciences, Islamic Republic of Iran, 2019 Estimating the gravity anomaly causative bodies boundary can facilitate the gravity field interpretation. In this paper, 2D discrete wavelet transform (DWT) is employed as a method to delineate the boundary of the gravity anomaly sources.
ata eshaghzadeh +2 more
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Haar Wavelet Neural Network Model
2018 International Conference on Artificial Intelligence and Data Processing (IDAP), 2018 Convolutional neural networks, one of the most important methods of deep learning which is a popular and modern research topic. Nowadays, thismethod has been applied many problems in a short time and obtained successful results for science and the industry.
Pala, T. +4 more
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Feature selection using Haar wavelet power spectrum [PDF]
BMC Bioinformatics, 2006 Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical methods are utilized more in this domain. Most of them do not fit for a wide range of datasets. The transform oriented signal processing domains are not probed much when other fields like image and ...
Sahu Rajendra +2 more
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Image Compression using Haar and Modified Haar Wavelet Transform
Tikrit Journal of Engineering Sciences, 2011 Efficient image compression approaches can provide the best solutions to the recent growth of the data intensive and multimedia based applications. As presented in many papers the Haar matrix–based methods and wavelet analysis can be used in various areas of image processing such as edge detection, preserving, smoothing or filtering.
Mohannad Abid Shehab Ahmed +2 more
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