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randgen2.zip
randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples
in d-dimensions where d = 2
mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around
cov1, cov2, cov3 are the covariance matrices and ...
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fit_mix_2D_gaussian.zip
... mean is a 2x1 vector)
covar - fitted covariance for each gaussian. this is a 2x2xM matrix.
t - probability of each gaussian in the complete distribution
iter - number of iterations done by the function
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fit_mix_gaussian.zip
fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
format: [u,sig,t,iter] = fit_mix_gaussian( X,M )
input: X - input samples, Nx1 vector
M - number of gaussians which are assumed to ...
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Algorithm-collections-for-digital-signal---E.-S.-
SUMMARY:
The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in ...
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function6.zip
Pass the Images Through Optics -- Use a Gaussian "Aperture Function"
This code segement can use a measured aperture ... .mat files).
(Note: When the Point Spread Function is Gaussian, then so is the Aperture function)
To simulate the ...
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function2.zip
... "aero_vibrati") and the jitter motion is added into the overall sensor motion. Finally, the image is blurred through a Gaussian optical point spread function.
Note: Changing delt here also requires a change in the parameters set-up dialog box in ...
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