Gaussian scripts download

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... will assist the user to visualize the foot print of type2 fuzzy membership functions in ... MATLAB Release: R13 ...

... is drawn from the truncated Gaussian distribution in ... RANGE braket and satisfies std(X)=sigma.If input SIGMA is negative, ... of distribution function than the unbounded Gaussian with standard deviation -SIGMA ... to calling RANDN and throw away values ouside RANGE. In this case, the standard deviation of the ... truncated Gaussian will be different than -SIGMA. The *effective* mean and the effective standard deviation can be ...

... The output is the gaussian curvature at each point. The calculation is based on ... the first and second fundamental form. In order to calculate the k1 and k2, you need ...

... This method uses the collapsed square rather than the general cubature case. Demands ... MATLAB Release: R14 ...

... recursive implementation of the Gaussian filter. This implementation yields an infinite impulse response filter that has ... MADDs per dimension independent of the value of sigma in the Gaussian kernel. Demands ... MATLAB Release: R13 ...

... 3-class pattern classification problem. It generates hundred random samples for each pattern class using given parameters for ... the class-conditional densities.Further the Gaussian classifier is implemented to classify test samples of each class using ... equal prior class probabilities and specified probabilities.Also the nearest mean classifier is implemented to classify ...

... polyfit the lan of the data.h is the threshold which is the fraction from ... height that the data is been taken from.h should be ...

... to introduce spatial correlation while ... Based on the approach of spatial moving averages according to Oksanen and Sarjakoski 2005 ... Error propagation analysis of DEM-based drainage basin delineation. International Journal of Remote Sensing 26 ...

... hypergeometric function using the series expansion ... ...This function solves the Gaussian Hypergeometric Differential Equation ... MATLAB Release: R12.1 ...

... This function returns coefficients of Gaussian lowpass filter.Advantages of Gaussian filter ... slow rolloff in frequency domain.Pass SR ... cutoff freq, both in Hz, to the function. Coefficients for FIR filter of length ... Compute Gaussian filter frequency response when SR ... sampled at 5kHz with Gaussian filter with fco ...

... given covariance range. You might not find it very useful, ... dimensional Gaussian distribution with ... matrix of the wherewhere each row is the coordinates of that point in ...

... Random generation of Gaussian Samples in d-dimensions where ... that the gaussian samples are centered around. cov1, cov2, cov3 are the covariance matrices and will vary ... the number of gaussian samples used and are provided as user input. ... test set of ... training set of ... gaussian samples is also generated. Output is directed to the command window and ...

... This script computes the definite integral of ... user defined function over the interval ... The user can specify the number of Gauss points ...

... Computes the Gaussian function in 1D ... Full Width Half Max of the functionorder ... Gaussian orderNormal Gaussian is of order 1.Note that FWHM ... Half Width)/sqrt(2*log(2))log is the natural log. Demands ... MATLAB Release: R2007a ...

... one dimensional Gaussian wave packet incident on various potential barriers.Draws space time diagrams of the packet.Draws space ... time diagrams of the packet. ...

... It can be used in image recovery actions, image processing tasks, in signal processing, in simulations or ...

... At the moment, the Normal Inverse Gaussian (NIG) distribution is not included in the statistics toolbox.This ... toolbox with the most important functionalities for the NIG distribution ... random numbers, moments, cdf, pdf and parameters by moment fit. This collection is an update of ...

... X, Y, FWHM_x, FWHM ... Rotation angle in degress ... MATLAB Release: R2007a ...

... multivariate gaussian mixture by ... powerfull tool to achieve stochastic multi-extremum optimization. Demands:• MATLAB Release ...

... functions from sets of random data.The code is programmed in ... way to be suitable for beginners to learn kernel density estimation. Demands ...

... The file contains ... matrix that can be read using the MatLab "csvread" command. Demands ...

... This is an online version of the card game SET which runs completely off javascript ... This version is better than the one currently at the ... offical SET site ... whole deck of cards and removes ... replaces sets found. It was designed to use DHTML to ...

... It creates sets of values with different with either uniform, Gaussian or Poisson ... distributions.It can also apply the generated values at an input signal in input to simulate ... Fast Fourier Transform, the use high-pass or low-pass before recovering the ... signal using the reverse Fast Fourier Transform. Demands ...

... supports parallel computing, being implemented in its main modules.Both OpenMP and MPI API are supported and allow ... or hybrid parallel schemes. Most important functions of Polyphemus:Features:• Several models ... with Gaussian, Eulerian, Lagrangian ... formulations ... meteorological models, ground data ...

... Gaussian kernel density estimation, updating the PDF estimation at the same time, ... previous estimation, the structure variable of the estimation should be provided together ... with new data. This function will then update the estimation in the resulting structure variable. Demands ...

... signal affected by Gaussian noise. Demands ... MATLAB 7.5 or higherLimitations:• EVAR only works with evenly-gridded data in one ... and higher dimensions. ...

... offer control over the center frequency, width, and shape of the filter.Usage ... function iff(x,y)Shape determines the sharpness of the cut-off. If shape ... as shape increases the filter shape becomes more and more rectangular.There are four operating ... for band-pass filter, linear plot; mode ...

... This function implements multivariant Gaussian kernel regression and smoothing.Efficiency is improved by searching neighbors in ... more effective range. Demands ...

... of the regression is derived from the optimal bendwidth of the Gaussian kernel density estimation suggested in ... the literature. The code can also take care of missing ...

Scripting gaussian programming is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Gaussian scripts are often distinguished from executable files. This gaussian scripts are safe to use virus free and spyware free.

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