The measurement of electromagnetic interference can be performed e.g. on open area test sites with different shapes and sizes, which are defined in ANSI C63.4 [1] and CISPR 16-1 [2]. For EMC compliance measurements the normalized site attenuation (NSA) has to be measured and compared with the calculated NSA [3]. If the deviation is too high, an extension of the groundplane is recommended. This ...

A probabilistic method for solving the Monge-Kantorovich mass transport problem on R is introduced. A system of empirical measures of independent particles is built in such a way that it obeys a doubly indexed large deviation principle with an optimal transport cost as its rate function. As a consequence, new approximation results for the optimal cost function and the optimal transport plans ar...

reconstructed 16fold (4x4) accelerated wholehead coverage 3DEPI volume scan acquired with isotropic 1 mm nominal spatial resolution in 3.6 s/vol. Shown are samples of axial, coronal, and sagittal slices from a single volume (no averaging), demonstrating the data quality and spatial coverage. Fig. 2: (Top) Sliceaveraged normalized standard deviation of temporal signal fluctuations (NSD) was high...

In general, ray paths in anisotropic media can be found by solving the sixth-order kinematic ray equations. In this paper it is shown that in media where the density-normalized elastic parameters depend quadratically on one coordinate, i.e. the velocities vary linearly, the projection of the ray path on to the slowness vector plane, which is fixed, is the same shape as the cross-section of the ...

We obtain an optimal deviation from the mean upper bound D(x) def = sup f∈F μ{f −Eμf ≥ x}, for x ∈ R (0.1) where F is the complete class of integrable, Lipschitz functions on probability metric (product) spaces. As corollaries we get exact solutions of (0.1) for Euclidean unit sphere Sn−1 with a geodesic distance function and a normalized Haar measure, for R equipped with a Gaussian measure and...

This paper presents a new Variable Step-Size Normalized Subband Adaptive Filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the Mean-Square Deviation (MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computa...

This paper considers the asymptotic distributions of the error density estimators in first-order autoregressive models. At a fixed point, the distribution of the error density estimator is shown to be normal. Globally, the asymptotic distribution of the maximum of a suitably normalized deviation of the density estimator from the expectation of the kernel error density (based on the true error) ...