Open AccessApplying Haar Wavelets in Tasks of Digital Processing of Two-Dimensional Signals
Author(s) -
Hakimjon Zaynidinov,
I. Yusupov,
M.G. Mannopova
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3533.049620
Subject(s) - haar , wavelet , haar wavelet , transformation (genetics) , basis (linear algebra) , energy (signal processing) , basis function , computer science , algorithm , sampling (signal processing) , sampling theory , walsh function , mathematics , discrete wavelet transform , mathematical analysis , wavelet transform , artificial intelligence , computer vision , geometry , statistics , sample size determination , biochemistry , chemistry , gene , filter (signal processing)
In this article, a system application of local basis functions discussed, defined on compact media. formulas for estimating the accuracy of calculating the spectral energy by the method of two-dimensional Haar wavelets and main concepts of Haar fast transformation, spectral energy of Haar coefficients will be discussed in this article. effectiveness will be shown in order to solve problems of sampling of compact signals. Signals cannot only be functions of time, defined at finite intervals, but also functions of arguments of a different physical nature, for example, distances along surfaces.