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This paper proposes a novel method by rethinking the method of moments (MoM) solving process into a machine learning training process. Based on the artificial neural network (ANN), the conventional MoM matrix is treated as the training data set, based on which machine learning training process becomes conventional linear algebra MoM solving process. The trained result is the solution of MoM. The multiple...
This paper is a rethinking of the conventional method of moments (MoM) using the modern machine learning (ML) technology. By repositioning the MoM matrix and unknowns in an artificial neural network (ANN), the conventional linear algebra MoM solving is changed into a machine learning training process. The trained result is the solution. As an application, the parasitic capacitance extraction broadly...
A high resolution spectral-domain optical coherence tomography (SD-OCT) system based on a thermal light source was presented. A novel normalized method was introduced to remove the background noise and the DC noise of the interference spectrum. A Gaussian spectral calibration procedure was performed to improve axial resolution and image quality before reconstructing OCT image. With the proposed method,...
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