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Ovidio Mario Bucci

Researcher at University of Naples Federico II

Publications -  225
Citations -  7121

Ovidio Mario Bucci is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Antenna (radio) & Interpolation. The author has an hindex of 43, co-authored 225 publications receiving 6432 citations. Previous affiliations of Ovidio Mario Bucci include National Research Council.

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Representation of electromagnetic fields over arbitrary surfaces by a finite and nonredundant number of samples

TL;DR: In this article, it was shown that the electromagnetic field can be accurately represented over a substantially arbitrary surface by a finite number of samples, even when the observation domain is unbounded.
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On the degrees of freedom of scattered fields

TL;DR: In this article, the Nyquist number was shown to be practically equal to the effective (spatial) bandwidth of the scattered field and to the extension of the observation domain, and it was shown that the field representation can be made in terms of field values and simple sampling functions.
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On the spatial bandwidth of scattered fields

TL;DR: In this article, it was shown that the scattered fields are almost space band-limited functions and that the effective bandwidth of a very general scattering system is very simply related to the maximum dimension of the scattering system; the error drops to negligible values for modest increases of w compared to W, in the case of large scatterers.
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Electromagnetic inverse scattering: Retrievable information and measurement strategies

TL;DR: In this article, an accurate upper bound to the dimension of such a space is evaluated in both the single incidence and multiview cases, and an optimal sampling strategy for the monostatic radar cross section is also provided.
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Intersection approach to array pattern synthesis

TL;DR: In this article, a new synthesis method based on the intersection approach is presented: the synthesis is viewed as the problem of finding the intersection of sets, which is a more natural, flexible and effective formulation of the problem but despite this it has not previously received much attention.