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Hankel singular value decomposition

The original linear prediction and state-space methods are known in the nuclear magnetic resonance literature as LPSVD and Hankel singular value decomposition (HSVD), respectively, and many variants of them exist. Not only do these methods model the data, but also the fitted model parameters relate directly to actual physical parameters, thus making modelling and quantification a one-step process. The analysis is carried out in the time domain, although it is usually more convenient to display the results in the frequency domain by Fourier transformation of the fitted function. [Pg.101]


See other pages where Hankel singular value decomposition is mentioned: [Pg.124]    [Pg.61]    [Pg.124]    [Pg.61]    [Pg.61]    [Pg.100]    [Pg.105]    [Pg.327]    [Pg.231]    [Pg.218]    [Pg.189]   
See also in sourсe #XX -- [ Pg.6 , Pg.101 , Pg.104 , Pg.107 , Pg.108 ]




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