Applying Haar Wavelets in Tasks of Digital Processing of Two-Dimensional Signals | Zendy

Hakimjon Zaynidinov | Zendy; Ibrohimbek Yusupov | Zendy; M.G. Mannopova | Zendy

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Applying Haar Wavelets in Tasks of Digital Processing of Two-Dimensional Signals

Author(s) -

Hakimjon Zaynidinov,

Ibrohimbek 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 , mathematics , discrete wavelet transform , mathematical analysis , wavelet transform , artificial intelligence , geometry , telecommunications , statistics , sample size determination , biochemistry , chemistry , gene , detector

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.

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