Applying Haar Wavelets in Tasks of Digital Processing of Two-Dimensional Signals
H.N. Zaynidinov1, I. Yusupov2, M.G.Mannopova3
1H.N. Zaynidinov, Professor, Department Head of Information Technology, Tashkent University of Information Technology named after Muhammad al-Khwarizmi.
2I. Yusupov, Assistant, Department of Information Technologies, Tashkent University, Information Technologies Muhammad al-Khwarizmi.
3M.G.Mannopova, Graduate Student, Tashkent University of Information Technology, Muhammad al-Khwarizmi.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 163-166 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3533049620/2020©BEIESP | DOI: 10.35940/ijitee.F3533.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this article, a system application of local basis functions discussed, defined on compact media. Applying 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. Their 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.
Keywords: Compact Spectrum, Finite Function, Signal Energy, Approximation, Haar Wavelets, Wavelet Fast Transform.
Scope of the Article: Signal and Speech Processing