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Tapan K. Sarkar

Researcher at Syracuse University

Publications -  838
Citations -  23422

Tapan K. Sarkar is an academic researcher from Syracuse University. The author has contributed to research in topics: Integral equation & Antenna (radio). The author has an hindex of 67, co-authored 837 publications receiving 22072 citations. Previous affiliations of Tapan K. Sarkar include University of Belgrade & Technical University of Madrid.

Papers
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The finite element method in electromagnetics

TL;DR: In this article, a self-adaptive mesh scheme is presented in the context of the quasi-static and full-wave analysis of general anisotropic multiconductor arbitrary shaped waveguiding structures.
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Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise

TL;DR: It is found through perturbation analysis and simulation that, for signals with unknown damping factors, the pencil method is less sensitive to noise than the polynomial method.
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Using the matrix pencil method to estimate the parameters of a sum of complex exponentials

TL;DR: The matrix pencil method is described, which is more robust to noise in the sampled data and has a lower variance of the estimates of the parameters of interest than a polynomial-type method, and is also computationally more efficient.
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A survey of various propagation models for mobile communication

TL;DR: An impulse-response characterization for the propagation path is presented, including models for small-scale fading, and it is shown that when two-way communication ports can be defined for a mobile system, it is possible to use reciprocity to focus the energy along the direction of an intended user without any explicit knowledge of the electromagnetic environment in which the system is operating.
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Generalized pencil-of-function method for extracting poles of an EM system from its transient response

TL;DR: In this article, a generalized pencil-of-function (GPOF) method is developed for extracting the poles of an electromagnetic system from its transient response, which needs the solution of a generalized eigenvalue problem to find the poles.