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In this paper, a parametric electromagnetic radiated emis- sion model has been explored. Several mathematical improvements with respect to its extraction and computational performance have been deployed. The model, represented with an array of radiating electric dipoles, predicts the electromagnetic emission of components and systems. Core-level changes have been made in order to extract the model parameters: the dipole positions, their orientations and cur- rents, and the efiective relative permittivity from near-fleld measure- ments. Thresholding and windowing techniques are used to detect and optimize dipole positions, directly from the fleld data. A fast and mem- ory e-cient two-level optimization algorithm based on the Levenberg- Marquardt non-linear least squares technique is implemented for para- metric extraction. All the constraints of the previous model have been overcome and the system is validated for mono-substrate and multi- substrate devices from measurements and/or simulations, with promis- ing results. A tremendous improvement in modeling capability and performance has been obtained when compared with that of its erst- while counterpart.

COMPUTATIONAL OPTIMIZATIONS TOWARDS AN ACCURATE AND RAPID ELECTROMAGNETIC EMISSION MODELING