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updated 2 years ago

pregress.m by Elizabeth

A Matlab function pregress.m to carry out linear regression for an arbitrary order n polynomial. (regression, polynomial fit, leastsquares)

pregress( x,y,m );

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updated 2 years ago

Four-Parameter Sinefit by Marko Neitola

Least squares sinusoid fit. Optimization toolbox not needed. Data can be non-uniformly sampled. (leastsquares, sinusoid, fit)

sinefit(varargin)

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updated 3 years ago

polyfit_roots by Amit Hochman

Similar to polyfit, but allows higher degrees by returning the roots of the polynomial. (polynomials, leastsquares, curvefitting)

Polynomial fitting with polyfit_roots

[Q,H]=arnoldi(A,b,k)

polyfit_roots(x, y, N, tol)

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updated 5 years ago

Pseudo-inverse by Bruno Luong

Factorize a matrix for pseudo-inverse calculation purpose (moorepenrose, pseudoinverse, qr)

pseudoinverse %

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updated almost 8 years ago

polyfitweighted by Salman Rogers

Simple function to calculate a polynomial best fit of 1D data Y with array of weights W (which must (optimization, leastsquares, polymonial)

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updated 9 years ago

2-D Savitzky-Golay Smoothing and Differentiation Filter by Jianwen Luo

Obtain the coefficients of the 2-D Savitzky-Golay smoothing and differentiation filter, ... (filter design, filter analysis, savitzkygolay)

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updated 10 years ago

POL.M by Luis Ros

Calculates a topographic polygonal using the least-squares method. (pol, topographic polygonal, leastsquares)

pol.m

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updated 10 years ago

pol by Luis Ros

Calculates a topographic polygonal using the least-squares method. (polygonal, topography, leastsquares)

pol.m

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updated 10 years ago

Savitzky-Golay Smoothing and Differentiation Filter by Jianwen Luo

Savitzky-Golay smoothing and differentiation filter calculated with the recursive properties ... (filter design, filter analysis, savitzkygolay)

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updated 11 years ago

2-D Savitzky-Golay Smoothing Filter by Jianwen Luo

i.e. the Polynomial smoothingfilter or the least-squares smoothing filter. (filter design, filter analysis, savitzkygolay)

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