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This is a statistical trick that allows complicated data such as those from magnetoencephalography to be reduced to a small number of components whose co-ordinates can then be plotted on a standard graph.
This guarantees that the signal energy is not concentrated in a small number of components.
Hence, we would suggest LIDE-LMM with small number of components (3 or 5) for brightness preservation using either BPHEME or FHSABP target distribution.
When its energy is concentrated on a small number of components, the entropy takes a small value; otherwise, it takes a large value.
Using EMD method, any non-stationary data set can be decomposed into a finite and often small number of components, which are intrinsic mode functions(IMF).
Sparse representations is a technique that consists in decomposing a signal into a small number of components, chosen from a user-designed over-complete set of vectors.
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For large systems with even a relatively small number of component states, reliability computation can become prohibitive or inaccurate using current methods.
We report the results of the random-effects models because the validity of tests of heterogeneity can be limited with a small number of component studies.
In such situations they advocate choosing the model with the smaller number of components.
The use of PCA and LDA are data reduction by summarizing many variables into a smaller number of components.
Consequently, the detection performance decreases, due to the smaller number of components available for correlation in the time-frequency domain.
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