Sigma

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos.It's an implementation of the paper of M.N. Ahmed... Platforms: Matlab

With this function, you can get the value of L (wavelength), k (wave number), sigma(angular frequency), using different solutions of the dispersion relationship.Inputs: h = deep water (m) T = wave period (s)Outputs: kr = wave number with Newton-Rhapson (1/m) Lr = wavelength with Newton-Rhapson... Platforms: Matlab

This simulation was generated to compare the MASH 111 SDM with other types of SDMs. This file outputs the average fraction to compare with the one specified as an input, and plots the noise. The Multi-feedback SDM which this was compared to is submitted in a separate posting. Platforms: Matlab

This code optimises the parameters for the term structure of volatility (TSOV) applied to historical forward curves - see discussion in Harris in reference 1 below. TSOVs avaible are: TermType - 1 = sigma = A exp (-CT) - 2 = sigma = A exp (-CT) + D - 3 = sigma = (A + BT) exp (-CT) + DRequired... Platforms: Matlab

Lyapunov exponent calcullation for ODE-system. The alogrithm employed in this m-file for determining Lyapunov exponents was proposed in A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985.For... Platforms: Matlab

[G GWINLEN] = genGaborKernelF( MU,NU,sigma,scaleXY,imgSz )GIMG = GABORCONV(IMG,G,GWINLEN)Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV. Platforms: Matlab

This toolbox allow the simulation of sigma-delta modulators. considering the most important building block non-idealities. Moreover, it provides functions for evaluating the sigma-delta modulator performance. Platforms: Matlab

[VINDX FRACDIM V_SIGMA COVERSIZE] = varIndx(LOW,HIGH) LOW is a column vector of the lowest price in the bar (second, minute, etc). HIGH is a column vector of the highest price in the bar. VINDX is the variation index of the data. FRACDIM is the fractal dimension of the data. V_SIGMA is the... Platforms: Matlab

The algorithm takes in a 1-D signal and finds the Gaussian derivative of it with the given kernel size and sigma, to provide the zero crossings. The zero crossings are then analyzed to give peaks and valleys. In order to remove very closely situated peaks and valleys, a width (provided by the... Platforms: Matlab

DigitFD generates random sample from the fiducial distribution of the parameters mu and sigma [of the unobservable normal distribution], based on the (digitized) measurements from instrument with limited, however known resolution. Here,measurements = round( (mu + sigma * Z)/resolution ) *... 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

[sigma,mu,A]=mygaussfit(x,y)[sigma,mu,A]=mygaussfit(x,y,h)this function is doing fit to the functiony=A * exp( -(x-mu)^2 / (2*sigma^2) )the fitting is been done by a polyfitthe lan of the data.h is the threshold which is the fractionfrom the maximum y height that the datais been taken from.h... Platforms: Matlab

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:... Platforms: Matlab

Included in the first line of the script is a sample data set. The script will compute basic statistics on this data set:mean1-sigma (standard deviation)medianfirst quartile (25th percentile)second quartile (50th percentile)third quartile (75th percentile)kth percentileIQRSID Platforms: Matlab

Calculates the min and max of a positive triangular distribution given a standard deviation (sigma) and assuming the mode = 1.This function can handle single value,vector or matrix inputs of sigma. For sigma > 1/sqrt(6), the distribution will be asymmetrical with minimum = 0 and mode = 1. Platforms: Matlab

The program is simple to use and it will help to find the call/put option price of Dividend or non dividend paying stocks using Black Scholes Formula.Input: Initial stock price(S0), Strike price(K), Interest rate per annum(r), Expiry time in year (T), Volatility (sigma) then it will calculate... Platforms: Matlab

The Lorenz attractor, named for Edward N. Lorenz, is an example of a non-linear dynamic system corresponding to the long-term behavior of the Lorenz oscillator.The Lorenz oscillator is a 3-dimensional dynamical system that exhibits chaotic flow, noted for its lemniscate shape. The map shows how... Platforms: Matlab

Auto Gaussian & Gabor Surface fit---2 functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for... 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

The output figures will show effects of the number of series terms and use of the Lanczos sigma factors to smooth the Gibbs oscillations. Platforms: Matlab