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updated 26 days ago

Automated EEG Repair Tool by Kristjan-Julius

Automatically detects and repairs EEG data that is noisy or contains artifacts (eeg, interpolation, automatic)

coreEXE( cfg, data )

defineBadNeigh( cfg, eeg_data )

detectionAlgorithm( prestim, freq, eeg_data )

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updated 3 months ago

Sound analysis with Matlab Implementation by Hristo Zhivomirov

Time and frequency analysis, measurement of the crest factor, the dynamic range, etc. (signal processing, sound analisys, not a function)

Sound_Analysis.m

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updated 3 months ago

Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial by ted p teng

A tutorial on detection of retinal vessels by Gabor transform and machine learning (pattern recognition, vessel segmentaion, machine learning)

Gabor_GLM_FEX.m

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updated 7 months ago

Backtracking Search Optimization Algorithm by PINAR CIVICIOGLU

A new swarm-based global optimization algorithm for real valued numerical optimization problems. (optimization, signal processing, image processing)

FoxHoles(x,mydata)

[fname,fnc,low,up,dim]=setttingOfBenchmarkFnc(i)

ackley(x,mydata)

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updated 8 months ago

Working with Time-Series Data in MATLAB by Abhaya

These are the example files for the webinar: "Working with Time-Series Data in MATLAB". (data exploration, interpolation, data import)

createfigure(X1, Y1)

ausmap.m

format_data.m

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updated 10 months ago

Differential Search Algorithm: A modernized particle swarm optimization algorithm by PINAR CIVICIOGLU

DSA is a modernized particle swarm optimization algorithm. (simulation, optimization, statistics)

ds(method,fnc,mydata,size_of_superorganism,size_of_one_cl...

out=circlefit(X,mydata)

out=weierstrass(X,str)

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updated 1 year ago

3D Turbulent Wind Field Simulation by means of Sandia Method for wind energy applications by Francesco Perrone

3D turbulent wind field generator with Kaimal model (turbulence wind field..., turbulent wind, signal processing)

wind_gen.m

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updated 2 years ago

Measures of Analysis of Time Series toolkit (MATS) by Dimitris Kugiumtzis

MATS computes many measures of scalar time series analysis on many time series in one go. (signal processing, simulation, statistics)

AAFTsur(xV,nsur)

AMRBootstrap(xV,arm,nsur)

ARMAfitite(xV,mV,pV,TV)

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updated 2 years ago

JPEG Compression (DCT) by Vinay Kumar Tadepalli

JPEG compression using Discrete Cosine Transform Technique (image processing, simulation, signal processing)

dct1.m

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updated 3 years ago

Mutual Information -2 variablle by Taesam Lee

Estimate Mutual Information with kernel density function (simulation, optimization, signal processing)

[Ixy,lambda]=MutualInfo(X,Y)

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updated 5 years ago

Using MATLAB(R) and the Statistics ToolboxTM for Design for Six Sigma (DFSS) by Dan Doherty

M-files used in the webinar held on November 2, 2005 (statistics, probability, design for six sigma)

x=coded2real(z,bounds)

Fandemo.m

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updated 5 years ago

BeadFluct v1.0 by Fabian Czerwinski

Monte-Carlo simulation to calculate position of micronsized particles in optical trap (biotech, signal processing, simulation)

[header, t, Mx]=BeadFluct(m,n,fsample, r, fc)

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updated 5 years ago

Principal Component Spectral Analysis by Martti

A two-dimensional histogram of Power Spectral Densities. (signal processing)

pcsa(X, paxis, faxis, varargin)

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updated 7 years ago

bispectr by Eugene V. Makarov

fast bispectrum estimation (spectral analysis, statistics, fft)

[varargout]=bispectr(x,nf,nt,fs)

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updated almost 8 years ago

Data Analysis with MATLAB Products - August 2006 Webinar Files by Stuart Kozola

Files used in the August 10, 2006 Webinar of same title (statistics, probability, survival)

Analyzing Seat Vibration Data Using MATLAB Products

createfigure(x1, y1, y2, y3, y4, y5)

getSeatData(fileNameBase,showplot)

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updated 8 years ago

WEACLIM by Vincent Moron

WEACLIM analyses, transforms and generate daily time series (of rainfall) for downscaling studies (climate, downscaling, statistical analysis)

X=shiftgrid(Y,lon,lat,choice);

[A_verif,B_verif,ADJ,ADJM]=mos_cca(X,Y,stand,choice,latx,...

[CLUS,mean_cluster,CLUSMOD,RAINMOD,ID]=weather_type_model...

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