Gaussian

This is a little script that adds several Gaussian or Lorentzian functions with the appropriate full width at half max and height to generate and plot a spectrum. The input is an array containing frequency vs oscillator strength, desired fwhm of the peaks and method for generating the spectrum....

Gauss numerical integration of univariate funcitons by 7-point Gaussian quadrature. Very accuracy and fast.

The "GEE! It's Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively.The functions in this package are accurate, but they are far...


Platforms: Matlab

Butterworth Bandpass FilterThis simple function was written for my Digital Image Processing courseat Eastern Mediterranean University taught byAssoc. Prof. Dr. Hasan Demirelfor the 2010-2011 Spring Semesterfor the complete report:http://www.scribd.com/doc/51981950/HW4-Fre...dpass-FilteringWritten...


Platforms: Matlab

This function implements bivariant Gaussian kernel density estimation. It can be used to estimate bivariant probability density function (pdf), cumulative distribution function (cdf) and inversed cdf (icdf) from a set of random data. The code is programmed in a way to be suitable for beginners to...


Platforms: Matlab

It can be seen as a introduction to Bayesian classification, or Matlab plotting.function ret = drawBayesGauss2D(mu,c,prProb,ax)% Draw Bayes classification results for 2D Gaussian distributions.% mu: 2-by-N, mean vector for N classes.% c: 2-by-2-by-N, cov matrices.% prProb: 1-by-N, prior...


Platforms: Matlab

EM estimation of parameters of bi variate NIG distribution.The test file:1. Simulate biNIG sample with use of randraw.m (http://www.mathworks.com/matlabcentral/fileexchange/7309)or invgrnd.m (http://www.mathworks.com/matlabcentral/fileexchange/10934) .2. Calls EMBIVNIG.m (values of starting...


Platforms: Matlab

Gibbs sampler for sampling from the invariance Normal Inverse Gaussian distribution. (Bayesian scheme of Karlis & Lillestol (2004))


Platforms: Matlab

The program parses Gaussian 98/03 single-point output and draws HFC tensors as ellipsoids on top of the length-based connected molecule.


Platforms: Matlab

This function takes an RGB image as input and gives the FWHM and 1/e^2 radius of Gaussian-assumed speckles in the horizontal and vertical directions in pixel units.The function is heavily commented for very easy use, and all mathematical steps are explained in the comments. Briefly, the...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab

At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit.


Platforms: Matlab

This is a function performs maximum likelihood estimation of Gaussian mixture model by using expectation maximization algorithm.It can work on data of arbitrary dimensions. Several techniques are applied in order to avoid the float number underflow problems that often occurs on applying...


Platforms: Matlab

This code calculates the (windowed!) running mean and variance as well asthe windowed Gaussian surprise for each newly added element.A simple (and useless) usage example: data=rand(1,100); % randomly generate 100 1-D samples history_length=10; % use a window size of 10 samples...


Platforms: Matlab

Models image as sample from one of 2 Gaussians in RGB space. Classifies each pixel as having originated from one Gaussian.In the future this could be expanded to remove the ith, kth, etc Gaussians from an N-Gaussian image model.RemoveBackground.m contains a demonstration of how to use the main...


Platforms: Matlab

Fits a Gaussian curve to data points. You can specify your initial values for amplitude, mean and standard deviation, or it will guess them.


Platforms: Matlab

in this work propose a method to simulate a gaussian beab it propagated in free space


Platforms: Matlab

Variational Bayes method (mean field) for GMM can auto determine the number of componentsThis is the variational Bayesian procedure (also called mean field) for inference of Gaussian mixture model. This is the Bayesian treatment of Gaussian mixture model.Unlike the EM algorithm (Maximum...


Platforms: Matlab

This filter could be extended into a 2D image smoothing filter. The kernel can be switched easily.This is a program to test how a gaussian filter works on a set of 1-D data ae.g. a=[1 10 1 10 1 10 1] --- use this as input or use your own 1D dataThis example uses a gaussian filter extracted from...


Platforms: Matlab

IMGAUSSIAN filters an 1D, 2D color/greyscale or 3D image with a Gaussian filter.Instead of using a multidimensional Gaussian kernel, it uses the fact that a Gaussian kernel can be separated in 1D kernels.By the default the code uses IMFILTER for the filtering. But also a cache efficient MEX /...


Platforms: Matlab