Gaussian Distribution

This program uses an Excel data file "DATA.xls" as an input to the program. the input file consists these worksheets: 1.input load data (active power of each load block and their X-Y cooedinates 2. present transformers and their capacities in kVA 3. candidate points for new transformers 4....

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning...

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)...


Platforms: Matlab

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production...


Platforms: Matlab

Generate Gaussian or Laplacian pyramids, or reconstruct an image from a pyramid. Contains a demo script doing image blending using pyramids. The function is more convenient to use than the Matlab function impyramid.


Platforms: Matlab

This code can be used to solve a set of linear equations using Gaussian elimination with partial pivoting. Note that the Augmented matrix rows are not directly switches. Instead a buffer vector is keeping track of the switches made. The final solution is determined using backward substitution.


Platforms: Matlab

Probability Distribution Plotter (ProbDistPlot) is a GIU tool which plots statistical distributions commonly used in reliability engineering. The program plots the probability distribution function (pdf), the cumulative distribution function (cdf) and the hazard rate of each distribution. The...


Platforms: Matlab

em_ghmm : Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options]); Inputs ------- Z Measurements (m x K x n1 x ... x nl) PI0 Initial probabilities (d x 1) : Pr(x_1 = i) , i=1,...,d. PI0...


Platforms: Matlab

An electron gun produces particles with specified rates and random velocities and direction, some of them collide with upper plate that its position and size are defined. This program simulate this process and shows what percent of particles collide with the plate and also show the distribution...


Platforms: Matlab

not getting results for 4 level/nlevel gaussian pyramid please try for improvement but gray levels are identified for successive levels and code is working wellunable to watch images for intermediate levels


Platforms: Matlab

There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative distribution function (cdf). For the complex gamma...


Platforms: Matlab

The pseudo-Wigner distribution function provides space-frequency information from a given image. In this application, image data can be locally analyzed in any desired direction by the use of an sliding 1-D small window. Calculation time is greatly decreased this way, converting the PWD in a...


Platforms: Matlab

All the information required to compute the random sequence are extracted from the pp-form structure, in particular the lowest and the highest generated numbers corresponds to the first and last break of the pp form respectively.RANDPDFS uses FNINT to compute the cumulative distribution function,...


Platforms: Matlab

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report...


Platforms: Matlab

Implementation details of (i)-(iii) can be found in [1].The fourth function (gmm2sv.m) is to concatenate the means (i.e. centers) of GMM. The concatenated mean of adapted GMM is known as GMM supervector (GSV) and it is used in GMM-SVM based speaker recognition system. Details of GMM-SVM based...


Platforms: Matlab

This function retrieve the student distribution value for a given alpha and degree of freedom value.Inputs: a = can be any alpha value n = number of data pointsOutput: st = value of the student distribution alpha = the alpha value used perc = the corresponding percentageComment: a can be...


Platforms: Matlab

A fast generator of gaussian mixture samples with a general ND dimensional calling syntax.Permit to sample from a simple multivariate process to several gaussian mixture in a easy way.Please run mexme_sample_mvgm.m to compile on your own platform. (Be sure to mex -setup is done before)


Platforms: Matlab

RANDPDF returns the matrix of random numbers from probability density distribution defined in p and px. p are the density (the y axis) and px are the value (the x axis) of the pdf. p and px must be of the same length. dim define the output matrix dimensions, for example dim=[100 3] define the...


Platforms: Matlab

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0


Platforms: Matlab

HYPERGEOMETRIC2F1 Computes a hypergeometric function using the series expansion:f(a,b;c;x)=1 + [ab/1!c]x + [a(a+1)b(b+1)/2!c(c+1)]x^2 +[a(a+1)(a+2)b(b+1)(b+2)/3!c(c+1)(c+2)]x^3 + ...This function solves the Gaussian Hypergeometric Differential Equation:x(1-x)y'' + {c-(a+b+1)x}y' - aby = 0


Platforms: Matlab