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A Useful Analytical Technique Singular-Value Decomposition Followed by Global Fitting

A Useful Analytical Technique Singular-Value Decomposition Followed by Global Fitting [23-25] [Pg.48]

The principles of SVD followed by global fitting are briefly described below taking the case of electronic absorption spectroscopy as an example The apparent optical density, D(X,t), of a system at wavelength X and at time t can be given as [Pg.49]

SVD serves to distinguish the signal from the noise components. With the help of the orthogonal relation of st shown in Eq. (3), Eq. (4) leads to [Pg.49]

This procedure is called global fitting. The origin of tp is also taken with a parameter, but for simplicity this parameter is omitted here. Since f is a nonlinear function of k, values, it can have many false minima. In order to avoid such false minima and to choose the true minimum, we need to obtain f that is closest to zero then Eq. (5) will be satisfied. Substituting Eq. (5) into the right-hand side of Eq. (4), and equating the coefficients of hftp) of both sides, we obtain [Pg.50]

The difference spectra thus obtained are called species-associated difference spectra (SADS).  [Pg.50]




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A values

Analytical Fitting

Analytical techniques

Analytical value

By decomposition

Decomposition techniques

Fit value

Fitness value

Fitting technique

Global fit

Singular

Singular Value Decomposition

Singularities

Use values

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