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Multilinear modeling component resolution

Ross RT, Feurgans SE, Component resolution using multilinear models, Methods in Enzymology 1995, 246, 679-700. [Pg.364]

In many circumstances, the spectroscopic properties of a biological specimen are a composite of the properties of several different chromo-phores within the specimen, and the investigator would like to know the properties of the individual chromophores. Physical separation of the chromophores is often difficult, and it may alter important properties of the system being studied. Thus, one looks to mathematical methods for separation of the contributions of the different chromophores. This chapter focuses on one class of mathematical methods, the application of multilinear models. A major advantage of this class of methods is that component resolution may often be achieved with no prior information about the properties of the components. [Pg.679]


See other pages where Multilinear modeling component resolution is mentioned: [Pg.679]    [Pg.679]    [Pg.681]    [Pg.683]    [Pg.685]    [Pg.687]    [Pg.689]    [Pg.691]    [Pg.693]    [Pg.695]    [Pg.697]    [Pg.699]   
See also in sourсe #XX -- [ Pg.679 ]




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