Abstract:A suitable selection of base functions for discrete wavelets transform is a difficult problem for data analysis. The grouping frequencies derived from the analysis are often dependent on the base functions and a selection of the base functions has been made mostly by trial and error. On the selection of the most suitable model from several statistical models, the model of which AIC (Akaike Information Criterion) is minimum, is selected as the suitable model. In this study, we propose the application of the AIC… Show more
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