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Published in 2017 at "Journal of Mathematical Sciences"
DOI: 10.1007/s10958-017-3454-9
Abstract: The aim of the paper is to present an orthogonal basis for the discrete wavelets in the general structure of the spline-wavelet decomposition. Decomposition of an original numerical flow without embedding in the standard functional…
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Keywords:
spline wavelet;
wavelet decomposition;
decomposition;
realization spline ... See more keywords
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Published in 2017 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2017.09.009
Abstract: Abstract A wavelet decomposition based technique is applied to air pressure data obtained from laboratory-scale powder snow avalanches. This technique is shown to be a powerful tool for identifying both repeatable and chaotic features at…
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Keywords:
identification particle;
wavelet decomposition;
laden flow;
particle laden ... See more keywords
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Published in 2019 at "Atmospheric and Oceanic Science Letters"
DOI: 10.1080/16742834.2019.1569455
Abstract: ABSTRACT Wind speed forecasting is of great importance for wind farm management and plays an important role in grid integration. Wind speed is volatile in nature and therefore it is difficult to predict with a…
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Keywords:
wavelet decomposition;
based wavelet;
speed;
wind speed ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3020330
Abstract: With the rapid development of the Internet, malware variants have increased exponentially, which poses a key threat to cyber security. Persistent efforts have been made to classify malware variants, but there are still many challenges,…
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Keywords:
wavelet decomposition;
entropy;
classification;
malware classification ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178380
Abstract: The surface defect detection of automobile pipe joints based on computer vision faces technical challenges. The tiny-sized and smooth surfaces with processing textures will undermine the defect detection accuracy. In order to solve this problem,…
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Keywords:
wavelet decomposition;
defect detection;
detection;
pipe joints ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3212145
Abstract: To ensure the safe and reliable transmission of images on public channels, this paper proposes a dual-domain image encryption algorithm based on hyperchaos and dynamic wavelet decomposition. The combination of dynamic wavelet decomposition and scrambling…
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Keywords:
wavelet;
wavelet decomposition;
encryption algorithm;
encryption ... See more keywords
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Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v21.i2.pp1201-1208
Abstract: In the last decade, the bag of visual words (BOVW) has been used widely in image classification, image retrieval and has significantly improved the performance of CBIR system. In this paper we propose a new…
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Keywords:
reducing image;
image;
wavelet decomposition;
time ... See more keywords
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Published in 2018 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/155892501801300103
Abstract: This paper investigates an unsupervised approach for fabric defect detection using un-decimated wavelet decomposition and simple statistical models. A novel data fusion scheme is proposed to merge the information from the different channels into a…
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Keywords:
defect detection;
wavelet decomposition;
decimated wavelet;
gumbel distribution ... See more keywords
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Published in 2019 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-019-0668-8
Abstract: BackgroundHead movement interferences are a common problem during prolonged dynamic brain electrical impedance tomography (EIT) clinical monitoring. Head movement interferences mainly originate from body movements of patients and nursing procedures performed by medical staff, etc.…
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Keywords:
movement;
movement interferences;
wavelet decomposition;
brain ... See more keywords
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Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.715855
Abstract: Achieving high classification performance is challenging due to non-stationarity and low signal-to-noise ratio (low SNR) characteristics of EEG signals. Spatial filtering is commonly used to improve the SNR yet the individual differences in the underlying…
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Keywords:
orthogonal wavelet;
classification;
via orthogonal;
wavelet decomposition ... See more keywords
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Published in 2019 at "Engineering"
DOI: 10.4236/eng.2019.117028
Abstract: This article discusses the use of wavelet decomposition in the diagnostics of vibrometric signals of an engine. Apart from presenting the possibility of using wavelets in diagnostics, the authors take up the subject of the…
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Keywords:
decomposition;
wavelet decomposition;
transform vibroacoustic;
engine ... See more keywords