Normal Gaussian Distribution

This is a simple gui application that used gaussian quadrature inegration based on index=1-3. It can be easily extended to higher order of indices for better accuracy. For more information visit:http://en.wikipedia.org/wiki/Gaussian_quadrature

The Ejs Coupled Oscillators and Normal Modes model displays the motion of coupled oscillators, two masses connected by three springs. The initial position of the two masses, the spring constant of the three springs, the damping coefficient for each mass, and the driving force and driving force...

The GMM returns the cluster centroid and cluster variances for a family of points if the number of clusters are predefined. The centroid and variance can then be passed to a Gaussian pdf to compute the similarity of a input query point with reference to given cluster.


Platforms: Matlab

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)...


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

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

Converts normally distributed z-statistic to one- or two-tailed p-valueby integrating the standard normal pdf. If no "tails" value is specified, z2p computes the two-tailed value by default. The output p is the same size as z, which can be a scalar, vector, or matrix. Inputs:z: normally...


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

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

Based on the Gaussian kernel density estimation, it is possible to update the PDF estimation upon receiving new data by using the same bandwidth.Without providing any previous estimation, this function does normal Gaussian kernel density estimation. The estimation parameters are stored in a...


Platforms: Matlab

Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image.


Platforms: Matlab

I wrote this code because I wanted to incorporate a new distribution in the model, not availiable in Matlab or OxMetrics. In this sample the input is a return series, it uses a Garch(1,1) model with a constant in mean in the returns, and calculates the maximum likelihood estimator (mle) for the...


Platforms: Matlab

Sorts input matrix of data so that each column is re-ordered byuser-specified criteria. Options are (1) sort data by signal width (2)sort data by energy localization (3) sort data by dissimilarity ofdata to a normal probability distribution. The default option is toreturn all 3 options, as...


Platforms: Matlab

The code is explained in the article: Okunev, Pavel, "Fast Computation of the Economic Capital, the Value at Risk and the Greeks of a Loan Portfolio in the Gaussian Factor Model" (July 1, 2005). http://ssrn.com/abstract=758505 This implements one factor Gaussian model. [pd]=pdgs(L,w,p,LL,N) L =...


Platforms: Matlab

MVNRND2 Random vectors from the multivariate normal distribution. R = MVNRND2(MU,SIGMA,NUM) returns a NUM-by-D matrix R of multivariate normal random vectors whose mean and covariance matrix match the given input parameters, MU (1-D vector) and SIGMA (D-by-D matrix) [...] = MVNRND2(...,COVNORM)...


Platforms: Matlab

Company present well structured and advance featured barcode software for Packaging, Supply & Distribution Industry to design attractive product tags and labels in 2D or linear font?s standard. Free trial demo of barcode software allowed user to understand its capacity and features before...


Platforms: Windows

Gaussian Output Tools is a package of simple scripts to extract data from Gaussian output files.


Platforms: Windows, Mac, Linux

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

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