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That is the samples had measured surface areas ranging from 5 to 40%% higher than the corresponding projected area.
Assuming x i ∈ R N is the samples at discrete time i=1,2,…,K with a fixed sampling rate.
This criterion tends to take large values when the within-class scatter is small, that is, the samples are well-clustered around the class mean, but the overall scatter is large, implying that the clusters are well-separated.
The transmitted signal samples of all antennas can be put together in a matrix as boldsymbol{V}=left[{boldsymbol{v}}_1cdot cdot cdot {boldsymbol{v}}_{M_t}right] (3)where v i ∈ ℂ L × 1, i = 1, …, M t is the samples of the transmitted signal with length L by the ith antenna (for a total of M t transmit antennas).
That is, the samples or sigma points are condensed into a filtering estimate (hat {x}_{k|k}) and its covariance P k|k, which entails a loss of information and can be seen as an inherent Gaussian assumption on the filtering density p(x k |y 1 k ).
A required argument to the bootstrap command is the –samples argument, which specifies how many bootstrap samples should be drawn.
Similar(49)
"The reason is, the sample is too small".
"The exciting part about this is the sampling opportunity this gives us," Mr. Booth said.
N is the sample period.
l is the sample index.
where is the sampling frequency.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com