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Temperature Determination and Scene Change Artifact Mitigation When Using Fourier-Transform Spectroscopy on Targets with Time-Varying Temperature. [PDF]
Sensors (Basel)Wilson KA +3 more
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MadgwickFall-Net: A Lightweight Dual-Frame Feature Fusion Network for Pre-Impact Fall Detection Using Wearable IMUs. [PDF]
Bioengineering (Basel)Zhong Q, Wang J, Sun G.
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Multiscale Modeling and Simulation, 2007
A new analysis apparatus, the multiscale window transform (MWT), is developed to generalize the classical mean-eddy decomposition (MED) in fluid mechanics to include three or more ranges of scales, and to ensure a faithful representation of localized energy processes.
X San Liang
exaly +2 more sources
A new analysis apparatus, the multiscale window transform (MWT), is developed to generalize the classical mean-eddy decomposition (MED) in fluid mechanics to include three or more ranges of scales, and to ensure a faithful representation of localized energy processes.
X San Liang
exaly +2 more sources
A Windowed Digraph Fourier Transform
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019We propose a methodology to carry out vertex-frequency analyses of graph signals, with the goal of unveiling the signal’s frequency occupancy over a localized region in the network. To this end, we first introduce localized graph signals in the vertex domain, by defining windows that are localized around each node by construction. Recent directed graph
Rasoul Shafipour +2 more
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A windowed graph Fourier transform
2012 IEEE Statistical Signal Processing Workshop (SSP), 2012The prevalence of signals on weighted graphs is increasing; however, because of the irregular structure of weighted graphs, classical signal processing techniques cannot be directly applied to signals on graphs. In this paper, we define generalized translation and modulation operators for signals on graphs, and use these operators to adapt the ...
David I. Shuman +2 more
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Adaptive windowed Fourier transform
Signal Processing, 2003Adaptive Fourier transform with a data-driven window function is proposed in the paper. The algorithm, based on the confidence intervals intersection, is used for determination of the window length. It produces an adaptive, close to optimal, bias-to-variance trade-off. A generalization for the case of time-varying signals is given.
Igor Djurovic, Ljubisa Stankovic
openaire +2 more sources