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The auto-covariance function of the signal is expressed in the semi-degenerate kernel form.
To design simple and suitable controllers for these processes, a nonlinear predictive controller using sparse kernel learning with a polynomial kernel form is designed.
The fixed-lag smoother uses the covariance function of the signal in the semi-degenerate kernel form and the variance of the observation noise.
The estimators require the information of the auto-covariance function in the semi-degenerate kernel form, the variance of white observation noise, the observed value and the probability that the signal exists in the observed value.
This paper contains a systematic study of numerical approximations for solving the exact kernel form of Pocklington's integro-differential equation for the current induced on a thin wire by an incident time-harmonic electromagnetic field.
The resulting kernel form for the FFT/iFFT on C66 is shown in Fig. 11.
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Yes, it might be a good idea to keep that in mind when you try the green almonds at his store: they are literally the green underripe nut, before the skin hardens to a brown shell and the fatty kernel forms inside.
The generalized Neumann kernel formed with A and η ( t ) is defined by N ( s, t ) : = 1 π Im ( A ( s ) A ( t ) η ˙ ( t ) η ( t ) − η ( s ) ). (12).
By using the same approach used in [3] for unbounded multiply connected regions, we can prove that the properties of the generalized Neumann kernel proved in [3], except Theorem 8, Theorem 10 and Corollary 2, are still valid for the generalized Neumann kernel formed with the function A ( t ) in (10) above (see [5]).
The smoothing kernels form an adaptive noise map that constrains smoothing in regions of high detail and allows more smoothing in large homogenous areas of the image.
These reactor designs are fueled with submillimeter-sized kernels formed into tristructural-isotropic (TRISO) particles that are imbedded in a graphite matrix.
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