Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core
Data-driven nonstationary signal decomposition approaches: a comparative analysis. [PDF]
Eriksen T, Rehman NU.
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Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]
Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core
Fault Diagnosis Method for Rolling Mill Multi Row Bearings Based on AMVMD-MC1DCNN under Unbalanced Dataset. [PDF]
Zhao C, Sun J, Lin S, Peng Y.
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Three-point bending damage detection of GFRP composites doped with graphene oxide by acoustic emission technology. [PDF]
Shu W, Liao L, Zhou P, Huang B, Chen W.
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Mine Gas Time-Series Data Prediction and Fluctuation Monitoring Method Based on Decomposition-Enhanced Cross-Graph Forecasting and Anomaly Finding. [PDF]
Yuan L.
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Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting. [PDF]
Başakın EE +3 more
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A Multivariate Blaschke-Based Mode Decomposition Approach for Gear Fault Diagnosis. [PDF]
Zheng X, Cheng Z, Cheng J, Yang Y.
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Adaptive hybrid deep learning framework for medium-term wind speed forecasting. [PDF]
Wang FK, Tsegaw F, Gomez W.
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[Multiple-scale intermuscular coupling network analysis]. [PDF]
Wu Y, She Q, Gao Y, Tan T, Fan Y.
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