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updated 21 days ago

spikegauss: continuous firing rate time series from discrete spiketimes by R P

Generate spike vector time series (SPKVEC) from the TIMESTAMPS of the spikes. (neuroscience, convolution, gaussian)

[spkvec,timevec]=spikegauss(timestamps,srate,min_timevec,ma...

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updated 3 months ago

Truncated multivariate normal by Tim Benham

Generates pseudo-random vectors drawn from the truncated multivariate normal distribution. (random, distribution, gaussian)

TruncatedGaussian(sigma, range, varargin)

rmvnrnd(mu,sigma,N,A,b,rhoThr,debug)

rmvnrnd_eg.m

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updated 4 months ago

Matlab Code Gaussian Elimination Method by Muhammad Ammad

Source = http://crunchmodo.com/matlab-code-gaussian-elimination-method/ (gaussian elimination ..., gaussian elimination, gaussian)

gauss_elimnation

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updated 4 months ago

Gaussian High Pass Filter by Muhammad Ammad

Implementation of high pass filter without using built-in functions. (high pass filter, edge detection, gaussian)

GaussianHighpass

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updated 6 months ago

Image Noise Reduction by Local Statistics by Tristan Ursell

Reduce image noise by measuring local pixel statistics and remapping intensities. (relative, deviation, statistics)

[varargout]=relnoise(Iin,sz,sigma,varargin)

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updated 1 year ago

Create a Simulated Image of Diffraction Limited Spots with Noise by Tristan Ursell

Create images with diffraction-limited spots of varying size and intensity, with noise. (image, create, creation)

[Iout,Inoise,spot_data]=spotmaker(im_sz,num_spots,varargin)

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updated 1 year ago

EM algorithm for Gaussian mixture model by Mo Chen

EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. (em, clustering, gmm)

emgm(X, init)

logsumexp(x, dim)

spread(X, label)

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updated 1 year ago

Variational Bayesian Inference for Gaussian Mixture Model by Mo Chen

Variational Bayes method (mean field) for GMM can auto determine the number of components (bayesian, gaussian, variational)

logmvgamma(x,d)

logsumexp(x, dim)

spread(X, label)

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updated 1 year ago

Gaussian-normally distributed random data by Nassim Khaled

it helps the user generate a normally distributed random set of data and then fit a Gaussian curve (random, normrdn, normal)

[mu,s,n,Data]=normrnd_normfit(MU,SIGMA,Length_Data,nb_bins)

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updated 1 year ago

Color Clustering Matlab by GAGAN

Computes the clusters of Pixels based upon their color. (color, color matlab, clustering)

binary_quant.m

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updated 1 year ago

Gauss elimination with complete pivoting by Nickolas Cheilakos

This function calculate Gauss elimination with complete pivoting (gauss, gaussian, linear algebra)

gecp(A)

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updated 1 year ago

ARMAX-GARCH-K Toolbox (Estimation, Forecasting, Simulation and Value-at-Risk Applications) by Alexandros Gabrielsen

ARMAX-GARCH-K Toolbox (agarch, statistics, apgarch)

[mu h]=egarchcore(parameters, data, ar, ma, x, p, q, y, m, ...

agarchcore(parameters, data, ar, ma, x, p, q, y, m, z, v, T...

apgarchcore(parameters, data, ar, ma, x, p, q, y, m, z, v, ...

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updated 1 year ago

Log Multivariate Normal Distribution Function by Benjamin Dichter

outputs log likelihood array for series of observations x where x_n ~ N(mu,Sigma) (gaussian, normal distribution, probability)

logmvnpdf(x,mu,Sigma)

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updated 1 year ago

Auto Gaussian & Gabor fits by Patrick Mineault

Fit 1D/2D Gaussian or Gabor to a curve/surface without start guesses for params (gaussian, curve fit, global optimization)

autoGaborSurf(xi,yi,zi,opts)

autoGaussianCurve(xi,zi,opts)

autoGaussianSurf(xi,yi,zi,opts)

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updated 1 year ago

Faded bar chart by Malcolm McLean

Bar chart add-on that shows the error as a fade-out rather than using error bars. (bar chart, error bars, faded errors)

fadedBar( h, errstd )

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updated 1 year ago

Patch Curvature by Dirk-Jan Kroon

Principal, Gaussian and Mean Curvature of triangulated mesh (curvature, gaussian, principal)

[Cmean,Cgaussian,Dir1,Dir2,Lambda1,Lambda2]=patchcurvature(...

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updated almost 2 years ago

Convolve/ Deconvolve Gaussian impulse response and unit impulse vectors by Bruce Raine

This function demonstrates how to convolve and deconvolve data as well as plots it and returns it. (filter, plot, signal processing)

plotImpulses(inFile)

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updated almost 2 years ago

Fast Gaussian Transform mex implementation by Sebastien PARIS

Mex inplementation of the FGT transform (statistics, probability, fgt)

test_fgt

mexme_fgt.m

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updated 2 years ago

1-D Gaussian peak and valley detector by Vidya Murali

Detects peaks and valleys in a 1-D signal (peak detector, gaussian, derivative)

[index1 index2]=peak_valley_detector(d, ker_sz, sigma, widt...

y=gderiv(data,sigma,w)

test_peak_valley_detector.m

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updated 2 years ago

Illustration of the Central Limit Theorem by Choqueuse Vincent

This script illustrates the central Limit theorem. (central limit theorem, statistics, gaussian)

illustration_CLT.m

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updated 2 years ago

BER Curve for QPSK in Gaussian Environment by Shah Gul Khan

QPSK Modulation BER Curve (qpsk, awgn, ber vs snr)

BER_QPSK_in_Gaussian_Environment.m

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updated 2 years ago

BER Curve for BPSK in Gaussian Environment by Shah Gul Khan

This program calculates BER for BPSK in Gaussian Environment. (ber, bpsk, gaussian)

BER_BPSK_in_Gaussian_Environment.m

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updated 2 years ago

Image noise generation by Michael Chan

Illustrates different noise type generation of different severity on images (blur, dilation, gaussian)

...

imagePlot( imageData, plotRowSize, plotColSize, ...

imageQualityIndex (img1, img2, block_size)

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updated 2 years ago

Truncated Gaussian by Bruno Luong

Generate a pseudo-random vector X drawn from the truncated Gaussian distribution (gaussian, normal, truncated)

TruncatedGaussian(sigma, range, varargin)

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updated almost 3 years ago

Separate Kernel in 1D kernels by Dirk-Jan Kroon

Decompose an arbitrary N dimensional filtering kernel into 1D kernels, for faster filtering (2d, gaussian, 3d)

[K1 KN ERR]=SeparateKernel(H)

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updated almost 3 years ago

Multivariate Gaussian Mixture Model Optimization by Cross Entropy by Sebastien PARIS

Stochastic multi-extremum optimization. (cross entropy, multivariate, gaussian)

ce_mvgm(Z , option);

sample_gaussian_mixture(mua , mub , mumin , mumax , ...

mexme_ce_gauss.m

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updated 3 years ago

Virtual Signal Generator by Thomas Reid

GUI with all the functionality of a standard signal generator, but without expensive equipment. (waveform, signal, sinusoidal)

VirtualSignalGenerator(varargin)

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updated 3 years ago

Gaussian Derivate by michael scheinfeild

example uses symbolic math for presenting 2-d Gaussian filter and 2nd derivate of the filter (gaussian, gaussian derivate, symbolic math)

test_sym.m

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updated 3 years ago

Wrapper of the jMEF java library by Sylvain Boltz

Matlab Wrapper for jMEF : A Java library to process mixtures of exponential families (exponential families, kullback leibler dive..., gaussian)

demo1

demo2

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updated 3 years ago

gaussian_mixture_model.m by Matthew Roughan

Estimate the parameters of a 1D Gaussian Mixture Model using the EM algorithm. (expectation maximizat..., estimation, em)

...

norm_density(x, mu, sigma)

normcdf(x, mu, sigma)

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updated 3 years ago

imgaussian by Dirk-Jan Kroon

Fast Gaussian filtering of 1D, 2D greyscale / color image or 3D image volume. (2d, filter, filtering)

I=imgaussian(I,sigma,siz)

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updated almost 4 years ago

gaussian discriminant functions boundary plots by kiriti gowda

This program generates random gaussian samples and plots the boundary. (boundary plot, discriminant function..., gaussian)

project4.m

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updated almost 4 years ago

Peak Interpolation by Travis Wiens

Estimates the location and magnitude of the peak of a continuous function between samples. (interpolation, dsp, measurement)

[x_max y_max A]=crit_interp_g(y,x);

[x_max y_max A]=crit_interp_p(y,x)

example1.m

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updated almost 4 years ago

initialize normal random number generator by Phillip M. Feldman

sets the state for Matlab's normal (Gaussian) random number generator (random, random numbers, random number generat...)

initrandn(seed)

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updated 4 years ago

Function Approximation by Ugo Pattacini

Encoding allows to represent any L2 function through a set of coefficients in a proper base. (wavelet, gaussian, cubic spline)

[c,y,E,N]=encJacobi(t,ydemo,ETol,Nmax,plotflag)

[c,y,E,yy]=encWavelet(t,ydemo,wavetype,j,plotflag,varargin)

[pp,y,E,I]=encCubspline(t,ydemo,ETol,Imax,plotflag)

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updated 4 years ago

gui calculator based on gaussian quadrature inegration by Nassim Khaled

gui calculator/integrator based on gaussian quadrature inegration (gui, calculator, integrator)

int_calculator(varargin)

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updated 4 years ago

Safe computation of logarithm-determinat of large matrix by Dahua Lin

Computes the logarithm of determinant of a matrix in a safe way that avoids overflow/underflow. (gaussian, logdet, determinant)

logdet(A, op)

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updated 4 years ago

gaussquad by Matt Fig

Adaptive form of gaussleg.m. (integration, gauss, gaussian)

gaussquad(f,a,b,tol)

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updated 4 years ago

crandn by Stephen Bocquet

Generate m sequences of n Gaussian random numbers with a specified autocorrelation function (dsp, correlated, random)

crandn(rgau,m)

crandndemo

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updated 4 years ago

MVG Multivariate Gaussian random number generator by Chad Lieberman

Generates vectors from the multivariate normal distribution parameterized by specified mean vector a (normal, generator, statistics)

mvg(mu,Sigma,N)

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updated 4 years ago

correlated Gaussian noise by michaelB brost

independent samples of correlated Gaussian vector process (gaussian, statistics, correlated)

correlatedGaussianNoise(Rpp, nSamp)

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updated 5 years ago

gaussdiff by Almar Klein

Small set of functions for doing basic differential geometry: applying Gaussian derivative filters t (filtering, gaussian, gaussian derivatives)

animateHessianGaussian(fname)

gaussiankernel(sigma, order, sigma2szeRatio)

gaussiankernel2(sigma, ox, oy, sigma2szeRatio)

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updated 5 years ago

Symbol Error Rate in 4-PAM modulation by Krishna Sankar M

The script computes the symbol error rate for 4PAM modulation (4pam, random alphabets, transmission)

script4PAM_ser.m

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updated 5 years ago

Histogram-based class separability measure by Theodoros Giannakopoulos

The provided functions demonstrate a histogram-based measure for class separability, given the sampl (statistics, probability, class separability)

computeHistError(Data1, Data2)

testClassSeperability(N,MEAN1,STD1,MEAN2,STD2, PLOT)

theoreticalError(m1, s1, m2, s2)

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updated 5 years ago

erfi function by Per Sundqvist

Imaginary error function (could be complex) using matlab's incomplete gamma function gammainc (complex, gaussian, imaginary error funct...)

ans=erfi(x)

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updated 5 years ago

PLOT_GAUSSIAN_ELLIPSOID by Gautam Vallabha

Plots two- and three-dimensional Gaussian distributions (statistics, probability, normal distribution)

plot_gaussian_ellipsoid(m, C, sdwidth, npts, axh)

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updated almost 6 years ago

SMIProm by Saumya Saurabh

The program helps you select ROI from image and find and process intensity profile (chemistry, physics, gui)

SMIProm(varargin)

confcallgrabit(varargin)

cropimage(fileName)

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updated almost 6 years ago

Finite Difference Beam Propagation Method by Edgar Guevara Codina

Gaussian pulse propagated in free space using FDBPM (chemistry, physics, fdbpm)

FDBPM_free_space.m

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updated 6 years ago

Method of elimination of Gauss with pivoting partial by Giovanni Di Cecca, Virginia Bellino

Solve Linear Equation in format Ax=b (equation, gauss, linear algebra)

[A,B,pivot,det,iflag,x]=myGaussSolve2(A,B)

[max,ip]=maximus(A,k,pivot,n)

[x]=bsLPU(n,A,pivot,B)

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updated almost 7 years ago

gaussian curve fit by Yohanan Sivan

gaussian curve fit (gaussian curve fit, gaussian, statistics)

[sigma,mu,A]=mygaussfit(x,y,h)

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