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This problem becomes more evident in a mixture pdf, where the number of parameters to be estimated increases, and consequently the computational complexity and the time needed for convergence increase as well.
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However, there are regions, such as Africa (pdf), where remittance charges average about 12%.
To parametrise the environment pdf for the RCM, we use Gaussian kernels, hence a Gaussian mixture pdf, such that (3).
The fitting of the mixture pdf to the histogram is still accurate.
In addition, the shape of the mixture pdf resembles more closely the multimodal characteristic of the empirical data.
Let us assume an FG model with mixture PDF messages and an FN update algorithm (e.g., SPA).
Compared to conventional single PDFs, mixture PDFs have performed well in modeling the wind speeds.
Common conventional PDFs and mixture PDFs along with three proposed new mixture PDFs, viz., WGEV, GEVL, and WL are used for wind speed modeling.
Results show clearly that proposed mixture PDFs, WGEV and GEVL, provide viable alternative to other mixture PDFs in describing wind regimes.
The FG-based solvingorithissolving this mixture variable problem inevitably involves messages with a complicated general-shaped mixture PDFs.
We employ two different versions of expectation maximization (EM) algorithm to find the parameters of mixture model and compare our new method with other image denoising techniques that are based on (1) non mixture pdfs that are not local, (2) non mixture pdfs with local variances, (3) mixture pdfs without local parameters and (4) methods that consider both heavy-tailed and locality properties.
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