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The term nonlinear means that the graph of σ plotted against e is not a straight line, by contrast with the situation in the linear theory.
In nonlinear multidimensional spectroscopy, spectroscopy means mapping how a system behaves by seeing how it emits or absorbs different frequencies of light; nonlinear means that the light that goes in isn't precisely proportional to the light that comes out.
We have shown, through time domain measurements, that the noise introduced by an OOB WiFi interference in an HSDPA receiver is non-Gaussian and impulsive, and thus can be effectively mitigated by nonlinear means.
Kernel functions provide the nonlinear means to infuse correlation or side information in big data, which can obtain significant performance improvement over their linear counterparts at the price of generally higher computational complexity.
Effective suppression of impulsive interferences in the signal path typically requires nonlinear means, for example, digital processing based on order statistics, and various approaches to design of nonlinear receivers with improved performance in the presence of impulsive interference have been proposed.
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Scale transition is achieved with nonlinear mean-field homogenization.
Wang, J. Zhang, Bounded stochastic distributions control for pseudo ARMAX stochastic systems, IEEE Transactions on Automatic control, 486 490), this paper presents the design of a subotpimal nonlinear mean controller for bounded dynamic stochastic systems with guaranteed stability.
In this paper we describe in detail spectral solution method for solving nonlinear mean field dynamo equations without inertial effects in a rapidly rotating spherical shell filled with electrically conducting fluid taken into account no-slip velocity boundary conditions in the core for a finitely conducting inner core and an insulating mantle.
A variational principle that describes the harmonic small disturbance behavior of the full potential equations about a nonlinear mean flow is developed.
Furthermore, they proved a nonlinear mean convergence theorem of Baillon's type [2] in a Hilbert space.
The unsteady flow is modelled using a linearized Euler analysis whereby the unsteady flow field is decomposed into a nonlinear mean flow plus a linear harmonically varying unsteady flow.
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