Using Some Features of Wavelets in the Search for Regularities in Applied Data

Abstract

An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.