Comparison between a statistical and a principal component analysis in reduction of near field FDTD data
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Universidade Federal de Minas Gerais
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Artigo de periódico
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We present a comparison of statistical and principal component analyses (PCA) for reducing the amount of near-field data requiredas an input to a time-domain spherical-multipole near-to-far-field transformation. Such transformations are necessary for finite-difference time-domain simulations that typically only model the near-field. We demonstrate our approach for the case of far-fieldsscattered by a dielectric sphere. For a threshold value of106, the PCA technique reduced the data required by 32%, using twelvecomponents. A similar compression was achieved with statistical analysis, when the threshold is set at10−7σ. Our work showsthat the proposed statistical compression is preferable because it has simpler implementation and low cost processing, whenimplemented together with the NFF transformation code.
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Método dos momentos (Estatística)
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https://digital-library.theiet.org/doi/10.1049/iet-map.2018.5611