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Assume Xk represents multimodal dataset and each is a linear mixture of components Ck with a nonsingular mixing matrix Ak, k = 1, 2, 3, denoting the modality.
So, the GEW density function is a linear mixture of EEW densities.
Equation (10) reveals that the EMO-G density function is a linear mixture of exp-G density functions.
It reveals that the GEW density function is a linear mixture of EW (when α>0) and Weibull (when α=0) densities.
Concerning the EEG, it is assumed that the recorded signal is a linear mixture of unknown sources within the brain.
While not always the case in practice, it is commonly assumed (as it is here) that at each pixel the spectral signature is a linear mixture of each of the endmembers present in the scene.
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A BOLD signal can be assumed to be a linear mixture of the sources influencing BOLD intensity level.
With linear ICA, X is
In Section 7, the density function of the EGG order statistics is expressed as a linear mixture of EG densities.
In Section 2, we define the EGG family and demonstrate that its probability density function (pdf) is given as a linear mixture of EG densities.
Its density function can be expressed as a linear mixture of extended-G densities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com