nth_element by Peter Li

MEX wrap of C++ nth_element. Plus fast_median, a faster median function. In-place and parallel. (median, cpp, rank selection)

fast_median.m

fast_median_ip.m

nth_element.m

Hampel filter in C++ by Ivar Eskerud Smith

Detect and replace outliers in a signal. (hampel, outlier, median)

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)

gmedian by Antonio Trujillo-Ortiz

Median of a grouped sample. (grouped data, frequency distributio..., descriptive statistic...)

gmedian(x)

Allstats by Francisco de Castro

Many statistics of a vector or matrix (statistics, mean, mode)

allstats(A,varargin)

quantreg.m - quantile regression by Aslak Grinsted

Quantile regression with bootstrapping confidence intervals (percentile, robust fitting, median)

[p,stats]=quantreg(x,y,tau,order,Nboot);

Descriptive Statistics by Matthias Chung

Calculates key values of the descriptive statistics (descriptive statistic..., percentile, boxplot)

getDescriptiveStatistics(x, param)

smooth by Christopher Hummersone

Perform windowed smoothing on a vector using mathematical functions (smooth, rms, median)

smooth(x,frame,mode)

Toolbox image by Gabriel Peyre

A toolbox that contains image processing functions (filtering, image processing, image analysis)

Toolox Image - A Toolbox for General Purpose Image Processi...

apply_colormap(M,col)

callback_atrou(x,dir,options)

weighted median by Sven Haase

Function for calculating the weighted median (median filter, weighted median, statistics)

weightedMedian(D,W)

NaN Suite by Jan Gläscher

Descriptive Statistics for N-D matrices ignoring NaNs. (mean, sem, max)

nanmax(a,dim,b)

nanmean(x,dim)

nanmedian(x,dim)

mode by Michael Robbins

Statistical mode. (statistics, probability, mean)

y=mode(x)

smooth by Huy Le

The SMOOTH function implements a method known as (3RSR)2H twice to do a running median averaging. (2h, median, running)

H(x,batch)

R3R(x,batch)

R3RSR(x,batch)