نتایج جستجو برای: matched filtering
تعداد نتایج: 179674 فیلتر نتایج به سال:
Identifying PAHs in space Midinfrared spectroscopy has shown that polycyclic aromatic hydrocarbons (PAHs) are abundant many astronomical objects, but this technique cannot determine which specific PAH molecules present. Radio astronomy could provide individual identifications if the molecule is sufficiently and a large dipole moment, expected to produce numbers of very weak lines. McGuire et al...
The use of matched filters on hyperspectral data has made it possible to detect faint signatures. This study uses a modified -means clustering to improve matched filter performance. Several simple bivariate cases are examined in detail, and the interaction of filtering and partitioning is discussed. We show that clustering can reduce within-class variance and group pixels with similar correlati...
Volcanic earthquake catalogs are an essential data product used to interpret subsurface volcanic activity and forecast eruptions. Advances in detection techniques (e.g., matched-filtering, machine learning) relative relocation tools have improved catalog completeness refined event locations. However, most volcano observatories yet incorporate these into their catalog-building workflows. This is...
Abstract In this paper, we comprehensively compare the application effects of five least-squares adaptive matched filtering methods (the single-channel, multichannel, equipoise pseudo multichannel and multichannel) for multiple suppression in three representative datasets with different degrees orthogonality. By introducing an error function, can quantitatively analyse influence terms filter le...
Abstract. The uniaxial perfectly matched layer (PML) method uses rectangular domain to define the PML problem and thus provides greater flexibility and efficiency in dealing with problems involving anisotropic scatterers. In this paper an adaptive uniaxial PML technique for solving the time harmonic Helmholtz scattering problem is developed. The PML parameters such as the thickness of the layer...
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