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updated 1 month ago

Estimate Principal Curvatures by William Beksi

Estimate the principal curvatures of a point cloud. (curve, curves, normal)

estimateCurvatures(normals, tree, query, radius)

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updated 1 month ago

Estimate Surface Normals by William Beksi

Estimate the surface normals of a point cloud. (point cloud, normal, computer vision)

estimateNormal(data, tree, query, radius, min_neighbors)

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updated 11 months ago

unifyMeshNormals by Sven

Aligns adjacent faces in a triangulated mesh surface or volume (mesh, stl, normal)

unifyMeshNormals( varargin )

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updated 11 months ago

Plane Fitting and Normal Calculation by Dan Couture

Given a set of x,y,z coordinates, find the best planar fit. (plot, regression, fit)

fitNormal(data, show_graph)

t_fitNormal()

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updated 1 year ago

Point cloud normal vector by Jered Wells

NORMND computes the vector normal to points in an N-D point cloud (eigenvector, eigenvalue, normal)

normnd(data,varargin)

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updated 1 year 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 almost 2 years ago

Fit distributions to censored data by Leonidas Bantis

Fits distributions to data when left and/or right and/or interval censoring is present (distribution, fit, censoring)

evfitc.m

expfitc.m

gamfitc.m

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updated 2 years ago

Distributions by Alexios Fourlis

This Gui is a simple way to display some useful distributions. (distribution, normal, poisson)

RnG(varargin)

SNG_task1(varargin)

exponential(varargin)

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updated 2 years 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 (gaussian, random, normal)

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

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updated almost 3 years ago

2D Line Curvature and Normals by Dirk-Jan Kroon

Accurate Curvature and Normals of a line/contour consisting of 2D points (normals, normal, curvature)

N=LineNormals2D(Vertices,Lines)

k=LineCurvature2D(Vertices,Lines)

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updated almost 3 years ago

Compute STL Vertex Normals by Francis Esmonde-White

Find the per-vertex normals for a tesselated surface. (stl, normal, vertex normal)

[vn]=STLVertexNormals(f, v, fn)

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updated 3 years ago

rand_extended computes a random number in the interval [a,b] by Nassim Khaled

rand_extended computes a random number in the interval [a,b] (random, rand, normal)

M=rand_extended(a,b,n,m)

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updated almost 4 years ago

Truncated Gaussian by Bruno Luong

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

TruncatedGaussian(sigma, range, varargin)

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updated almost 5 years ago

Shock Properties by Jared Miller

The program interpolates Normal Shock Properties from a given table of properties. (normal, shock, properties)

ShockProp(xi,prop1,prop2)

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updated 5 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 5 years ago

myfrenet by Mehmet OZTURK

Construct tangent, normal and binormal vectors of a curve (tangent, normal, binormal)

[T N B]=myfrenet(x,y,z,init)

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updated almost 6 years ago

MVG Multivariate Gaussian random number generator by Chad Lieberman

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

mvg(mu,Sigma,N)

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updated 6 years ago

MY_YTICKLABELS replaces YTickLabels with "normal" texts and resizes axis to fit the texts by Pekka Kumpulainen

MY_YTICKLABELS replaces YTickLabels with texts, shrinks the axis to fit the texts in the window (annotation, customization, yticklabel)

my_yticklabels(varargin)

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updated 6 years ago

Gram-Schmidt Process by Anthony Russo

Implements the Gram-Schmidt Process (linear algebra, gram, schmidt)

Gram_Schmidt_process(A)

basis_col(A)

basis_row(A)

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updated 7 years ago

Smith Form Of A matrix by Ehsan shariati varnosfaderani

This M file,calculate the smith form of a matix. (linear algebra, smith form matrix, matrice)

Smith_Form_V1.m

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updated 8 years ago

Frenet by Daniel Claxton

FRENET - Frenet-Serret Space Curve Invarients (frenet, normal, binormal)

frenet(x,y,z),

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updated 9 years ago

Gaussian Bell by Mathias Österberg

Creates a 2 dimensional gaussian distribution. (statistics, probability, gaussian)

gbell.m

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updated 9 years ago

planenormvec by Yo Fukushima

Calculate the normal vector of a plane in 3D that contains three points. (plane, normal, vector)

planenormvec(p1,p2,p3)

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updated 9 years ago

MLE for two Normal Mixtures using EM- algorithm by Panagiotis Braimakis

Illustration of EM algorithm for parameter estimation of Bimodal univariate distributions ... (statistics, probability, em)

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updated 9 years ago

Bivariate Cumulative Normal Probability by S B

This function gives bivariate cumulative normal probability and also includes normal probability. (statistics, probability, bivariate)

bivnormcdf(a,b,rho)

normcdfM(x)

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updated 9 years ago

normalizepdf.m by Aslak Grinsted

Forces the pdf of data to be normal. (statistics, probability, normal)

[normX,Bx,By]=normalizepdf(X)

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updated 10 years ago

A Collection of Fitting Functions by Ohad Gal

A collection of fitting functions for various distributions. (approximation, interpolation, fit)

build_mix_2D_gaussian( u_c,covar_c,p_c,N )

build_mix_gaussian( u_c,sig_c,p_c,N )

fit_ML_laplace( x,hAx )

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updated 10 years ago

Field of values by Wilmer Henao

Plots the field of values of a square complex matrix. (linear algebra, field of values, eigenvalue)

fovals(A,k)

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updated 10 years ago

bivnor by William Moranvil

This function provide an approximation of cumulative bivariate normal probability. (approximation, interpolation, bivariate)

[y]=bivnor(a,b,rho)

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updated almost 11 years ago

MVGRND by Fabio Peixoto

Generates multivariate Gaussian random variables. (statistics, probability, multivariate)

mvgrnd(m,sigma,n)

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updated 11 years ago

rndinvn by Panagiotis Braimakis

Samples from the inverse normal. (statistics, probability, inverse)

randinvnorm

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updated almost 16 years ago

bvnormal by Peter Dunn

The function bvnormal supplies a bivariate normal distribution for the user to interact with. (statistics, probability, bivariate)

bvnormal(option, first)

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