aimsalgo  5.1.2
Neuroimaging image processing
multilinfit.h File Reference
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Namespaces

 carto
 

Functions

Multilinear least square data fit

The model of the fit is : \ \yi = a0 + [b0 b1 ......

bM-1].[xi(0) xi(1) ...... xi(M-1)]\ \Given an X matrix containing x vector samples on lines, and given the Y vector containing the result of the model for each sample, the function returns the vector of coefficients [b0 b1 ....... bM-1].

carto::VolumeRef< float > AimsMultilinearLeastSquareFit (const carto::rc_ptr< carto::Volume< float > > &X, const carto::rc_ptr< carto::Volume< float > > &Y)
 

Function Documentation

◆ AimsMultilinearLeastSquareFit()

carto::VolumeRef<float> AimsMultilinearLeastSquareFit ( const carto::rc_ptr< carto::Volume< float > > &  X,
const carto::rc_ptr< carto::Volume< float > > &  Y 
)