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In most of the known cases in sampling theory the classes of the sampled functions are integral transforms defined on a (L^{2} -space.
If the covariance function is squared exponential, then sampled functions smoothly fluctuate.
For example, if the covariance function is of the neural network form then sampled functions have an a priori sigmoid-like shape.
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Spline filters are usually implemented in two steps, where in the first step the basis coefficients are computed by deconvolving the sampled function with a factorized filter and the second step reconstructs the sampled function.
Our strategies depend on both the locations of the data points in the plane, and the values of the sampled function at these points—adaptive thinning.
Properly designed sampling function of a sampled Bragg grating can produce an equivalent chirp profile within reflection bands with non-zero Fourier orders.
The schematic of the standard particle filter algorithm process with re-sampling function [25] is shown in Figure 2, modified from Ref. [24].
We show that a carefully designed sampling function envelope will combine these benefits, and demonstrate the technique in measurements of three different composite objects each consisting of three reflecting surfaces.
Given the enormous numbers for populating sequence space, and the present impossibility of computing or sampling function from sequence alone, it is clear that natural evolution cannot possibly have sampled all possible sequences that might have biological function.
A set of candidate sampling functions are then prepared from the adaptive PDF, among which the one with maximum energy is selected as the final sampling function.
The outlined procedure is finally applied for generating sample functions of the mean speed process.
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