ABSTRACT
This conclusion presents some closing thoughts on the key concepts discussed in the preceding chapters of this book. The book focuses on theory and practice of spectral analysis as it applies to quantification of a wide class biomedicai time signals. It provides optimally reliable solution of the ubiquitous noise problem. This is done by unequivocal disentangling of the genuine from spurious information using the concept of Froissart doublets. The book suggests that the optimal alternative method is the fast pade transform (FPT), which can provide both the qualitative and quantitative information. The FPT automatically and simultaneously performs interpolation and extrapolation of the examined data. The book shows that the FPT can adequately solve the quantification problem in the presence of noise. The FPT would yield unambiguous quantitative physical and biochemical information. This could facilitate the development of normative data bases for metabolite concentrations versus the corresponding findings seen in malignancy.
