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The larger and the more complex the universe of prices to be covered by the index, the more complex the sampling pattern will have to be.
It is shown that the sampling pattern has large impacts on the image reconstruction error due to noise.
The sampling pattern extracted from the data is adaptive with the observations (available data) and thus enhances efficiency of the reconstruction.
As stated previously, we study temporal behavior of k- space patterns to decide about selecting or not selecting them in the sampling pattern.
As explained later, we use the estimated T to decide about including or not including a k-space line in the sampling pattern.
Finally, we estimate state transition matrices of these HMM's and use them to decide about selecting or not selecting specific k-space lines in the sampling pattern.
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Pseudocodes for generation of the sampling patterns are provided as follows.
The top plots in each panel show how the sample pattern (thick line) fits into the envelope of the training samples of the class into which both ANN and MED classified them - apparently correctly.
While evaluating spatial autocorrelation among the temperature sampling locations using Ripley's K function, we found the sampled pattern of temperature to be spatially random, falling within a 95% confidence envelope.
The bees significantly reversed their preference when the sample pattern changed (n = 12, total 40 visits, p<0.001).
The performance was significantly reversed after the sample pattern was swapped from the two-dot sample to the three-dot-sample (p<0.001, Fig. 3a).
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