Boundary element methods for the wave equation based on hierarchical matrices and adaptive cross approximation
Sign Up to like & getrecommendations! Published in 2022 at "Numerische Mathematik"
DOI: 10.1007/s00211-021-01259-8
Abstract: Time-domain Boundary Element Methods (BEM) have been successfully used in acoustics, optics and elastodynamics to solve transient problems numerically. However, the storage requirements are immense, since the fully populated system matrices have to be computed… read more here.
Keywords: boundary element; wave equation; cross approximation; approximation ... See more keywords
Computation of electric field inside substations with boundary element methods and adaptive cross approximation
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Analysis With Boundary Elements"
DOI: 10.1016/j.enganabound.2018.03.002
Abstract: Abstract Power system substations and HV power lines are sources of electric and magnetic fields of industrial frequency. Guidelines for permissible electric and magnetic field strengths regarding human exposure and electromagnetic compatibility (EMC) are provided… read more here.
Keywords: computation; field; element methods; adaptive cross ... See more keywords
An Adaptive Cross-Validation Thresholding De-Noising Algorithm for Fault Diagnosis of Rolling Element Bearings Under Variable and Transients Conditions
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DOI: 10.1109/access.2020.2986265
Abstract: Developing a proper approach for extracting the fault characteristics of rolling element bearings is a significant behavior in variable operation conditions. Generally, without a tachometer, the tacholess order tracking method is well established by instantaneous… read more here.
Keywords: thresholding noising; noising algorithm; adaptive cross; cross validation ... See more keywords
Improving the Accuracy of the Adaptive Cross Approximation With a Convergence Criterion Based on Random Sampling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2020.3010857
Abstract: The accuracy of the adaptive cross approximation (ACA) algorithm, a popular method for the compression of low-rank matrix blocks in method of moment computations, is sometimes seriously compromised by unpredictable errors in the convergence criterion.… read more here.
Keywords: accuracy adaptive; convergence; cross approximation; adaptive cross ... See more keywords
Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.1068165
Abstract: Introduction Electroencephalogram (EEG)-based motor imagery (MI) classification is an important aspect in brain-computer interfaces (BCIs), which bridges between neural system and computer devices decoding brain signals into recognizable machine commands. However, due to the small… read more here.
Keywords: subject; classification; adaptive cross; transfer learning ... See more keywords