Function Approximation: All Files - File Exchange

Code covered by the BSD License

Highlights from
Function Approximation

[c,y,E,N]=encJacobi(t,ydemo,E... Build the approximation y of the target ydemo relying on the Jacobi
[c,y,E,yy]=encWavelet(t,ydemo... Build the approximation y of the target ydemo at resolution 2^j
[pp,y,E,I]=encCubspline(t,yde... Build the piecewise polynomial approximation (cubic spline) y of the target ydemo
[w,a,y,E,N]=encNonlinDyn(t,yd... Build the approximation y of the target ydemo relying on the nonlinear
runMe
y=decJacobi(t,ydemo,c) Build the approximation y of the target ydemo from the expansion coefs c
y=decJacobi_fi(precision,t,yd... Build the approximation y of the target ydemo from the expansion coefs c
y=decWavelet(t,ydemo,wavetype... Build the approximation y of the target ydemo
y=decWavelet_fi(precision,t,y... Build the approximation y of the target ydemo
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from Function Approximation by Ugo Pattacini
Encoding allows to represent any L2 function through a set of coefficients in a proper base.

All files for Function Approximation

/Encoding Functions/decJacobi.m
/Encoding Functions/decJacobi_fi.m
/Encoding Functions/decWavelet.m
/Encoding Functions/decWavelet_fi.m
/Encoding Functions/encCubspline.m
/Encoding Functions/encJacobi.m
/Encoding Functions/encNonlinDyn.m
/Encoding Functions/encWavelet.m
/Encoding Functions/motion_data_01.mat
/Encoding Functions/runMe.m
/license.txt

Highlights from Function Approximation

Highlights from
Function Approximation