Minimization of Percent Root-Mean-Square Difference in the Generation of Wavelets Using Genetic Algorithm

Abstract

This paper proposes the minimization of the distortion measure of signals reconstructed by wavelets using genetic algorithm. The minimization happens between the original study object and the reconstructed one—Percent Root-Mean-Square. This distortion measure is analyzed in wavelet creation that are responsible of signals reconstruction with the best approximation from its originals, and these signals, used as study object, are electrocardiograms signals. This proposal solves the problem main commonly found in signals compressing area which is exactly the reconstruction of signals without loss of informations. The proposed method provided satisfactory results compared to those found in the literature.