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aimsalgo
5.1.2
Neuroimaging image processing
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Go to the source code of this file.
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) |
carto::VolumeRef<float> AimsMultilinearLeastSquareFit | ( | const carto::rc_ptr< carto::Volume< float > > & | X, |
const carto::rc_ptr< carto::Volume< float > > & | Y | ||
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