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We now propose an alternative SMC method for the unknown ARMA parameter case too, based on importance sampling principles.
Precisely, popular approaches are based on (1) model transformations (e.g., extended Kalman filtering [19]), (2) resorting to QML solutions [15], and (3) Monte Carlo sampling principles.
The science-based sampling principles presented here will facilitate full control of blending processes, including whether post-blending segregation influences the material stream that reaches the tabletting feed-frame.
An exemplary workflow is included, and based on authentic examples, we illustrate a number of sampling principles which can be implemented to obtain properly sampled tissue blocks for various purposes.
We know that the different sampling principles used in this study, and the analytical procedures done by each group with their own methodology will cause a main part of the observed uncertainties.
A mixed method of purposeful sampling and saturation sampling principles was used.
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For this purpose the Fundamental Sampling Principle (FSP) also receives special attention.
First, the independent uniform variables {w 1, …, w n } is randomized to follow the stratified sampling principle.
Regarding system architecture, sampling principle and noise figure, two different architectures are analyzed to distinguish their respective advantages and disadvantages.
This gaussian/exponential sampling principle allowed for a certain degree of fuzziness in the shape perception at large distances while reducing the dimensionality of the fingerprint.
The set S is a discrete uniform sub-sampling of the manifold Ω obtained using farthest sampling principle [64] (e.g., red, green, and blue points in Fig. 5).
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