Danger lies not in what we don't know, but in what we think we know that just ain't so. Mark Twain (1835–1910) The use of wavelets in statistics has received wide attention in the last …
Abstract Hidden Markov Model (HMM) is a stochastic process where implicit or latent stochastic processes can be inferred indirectly through a sequence of observed states. HMM …
SJ Bae, BM Mun, W Chang, B Vidakovic - Reliability Engineering & System …, 2019 - Elsevier
Condition-based maintenance (CBM) is designed to take maintenance actions only when there is an imminent evidence of failure for a monitoring system. The parameters indicating …
Z Ke, W Zheng, X Wang, M Lin - Entropy, 2024 - mdpi.com
In particle image velocimetry (PIV) experiments, background noise inevitably exists in the particle images when a particle image is being captured or transmitted, which blurs the …
P Hermann, T Mrkvička, T Mattfeldt… - Statistics in …, 2015 - Wiley Online Library
Fractals are models of natural processes with many applications in medicine. The recent studies in medicine show that fractals can be applied for cancer detection and the …
Multifractal denoising techniques capture interest in biomedicine, economy, and signal and image processing. Regarding stroke data there are subtle details not easily detectable by …
AM Atto, Y Berthoumieu, P Bolon - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
This brief derives a 2-D spectrum estimator from some recent results on the statistical properties of wavelet packet coefficients of random processes. It provides an analysis of the …
XD Huang, CY Wang, XM Fan, JL Zhang… - Science of the total …, 2018 - Elsevier
Developing an accurate, rapid and economic oil source recognition method is essential for water recourses protection. Concentration-synchronous-matrix-fluorescence (CSMF) …
A wavelet-based multifractal spectrum (MFS) for the analysis of images that possess an erratically changing oscillatory behavior at various scales is constructed and estimated. The …