[数据结构常用算法] juzhengsuanfa

说明：C++课程设计 矩阵算法 一种比较简单的方法 C语言初学者制作-C++ program design matrix algorithms a relatively simple way to produce C language for beginners
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[matlab例程] ImageRotationCorrection_omidvarnia

说明：digital image processing broken_heart_repairing.m with matlabinclude 3 programs
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[matlab例程] asic3

说明：This pdf contains Hungarian notifications and asic methodologies .
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[matlab例程] Model1s

说明：it is pgm used in matlab
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[matlab例程] plot3d_2

说明：This function produces an image of a 3D object defined by matrix a(l,m,n) in terms of voxels the image is a view after rotating the object by angles alfa and beta (in degree) b is the image and d is its ditance to the viewer matrix The first figure d
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[matlab例程] randgen2

说明：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 will v
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[matlab例程] fit_maxwell_pdf

说明： fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form:
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[matlab例程] fit_mix_2D_gaussian

说明：fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the
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[matlab例程] fit_mix_gaussian

说明： 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 compose the distributi
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[matlab例程] fit_ML_laplace

说明： fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
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[matlab例程] fit_ML_log_normal

说明： fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
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[matlab例程] fit_ML_maxwell

说明： fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*
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