Gaussian Random Samples Generation Matlab script

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Gaussian Random Samples Generation generates 2-dimensional gaussian samples. randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around. cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar. N = the number of gaussian samples used and are provided as user input. A test set of N/2 and a training set of N/2 gaussian samples is also generated. Output is directed to the command window and a plot of the distributions are generated. example1: randgen([4 5],[9 0;0 9],[10 15],[6 0;0 6],[15 10],[4 0;0 4]) orexample2: randgen([4 5],[9, 0; 0 9],[10 15],[5, 1.5; 1, 5.5],[15 10],[6, -1; -1, 4]) Requirements: · MATLAB Release: R14
Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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