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updated 11 minutes ago

SPLINEFIT by Jonas Lundgren

Fit a spline to noisy data. (spline, splinefit, cubic spline)

ppdiff(pp,j)

ppint(pp,a,b)

splinefit(varargin)

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updated 16 hours ago

Marginal distributions of a bivariate function by Shoaibur Rahman

This function computes the marginal distributions of each variable in a bivariate function. (probability, computer vision, statistics)

marginaldist(f,x,y,distributionType)

testFunction(x,y)

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updated 16 hours ago

Fast Third Order Cross-Cumulant calculation by Brian

Performs a fast third order cross cumulant calculation between the three vectors (x,y,z). (signal processing, mathematics, statistics)

cum3xyz(x,y,z, nsamp, overlap,window)

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updated 19 hours ago

Greedy Algorithms and Greedy Analysis Pursuit for Non-linear sparse recovery by Kavya Gupta

Modifications to Greedy Algorithms and Greedy Analysis Pursuit(GAP) for non-Linear sparse Recovery. (algorithm, matlab, optimization)

COSAMPEN(y,A,myfun,N,k)

COSAMPLN(y,A,myfun,N,k)

Grad(fun, x0, deltaFactor)

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updated 21 hours ago

Three State land mobile satellite channel model by NAMA AJAY NAGENDRA

LMS channel (signal processing)

MarkovStateSeries

StateSeriesGenerator(sigma_duration,alpha_duration,xmin,g...

cdf(z)

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updated 1 minute ago

Chebfun by Chebfun Team

Chebfun is an open-source package for numerical computation with functions to 15-digit accuracy (approximation, interpolation, quadrature)

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updated 1 day ago

Multi-exposure and Multi-focus Image Fusion in Gradient Domain by Sujoy Paul

An algorithm for fusion of a stack of multi-exposure and multi-focus images (image processing, image fusion, multiexposure)

ReconstructGradient.m

ChannelNorm(I,r)

GradientFusion(I)

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updated 3 days ago

inpolygons by Kelly Kearney

Finds points inside multiple polygons, holes possible. (approximation, interpolation, polygon)

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updated 4 days ago

2D and 3D Remapping by Mohammad Abouali

Creates Remapper (Interpolant/Extrapolant) for efficient mapping of data on 2D and 3D grids. (interpolation, extrapolation, least square)

Construct_D_Eta(M,N,OpOrder)

Construct_D_Xi(M,N,OpOrder)

Construct_G_U_Eta(M,N,OpOrder)

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updated 7 days ago

LDA for high dimension small sample size data by Bilwaj Gaonkar

Linear discriminant analysis when the data dimensionality is high and sample size is much smaller (medical, image analysis, signal processing)

lda_kernelized.m

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