Open AccessComparative analysis of application of wavelet analysis for the recognition of element composition nanostructures
Author(s) -
І. М. Ткаченко,
Е. Р. Кожанова,
V. V. Belyaev,
H. Yazbeck
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1309/1/012020
Subject(s) - wavelet , nanostructure , scanning electron microscope , discrete wavelet transform , elemental analysis , pattern recognition (psychology) , wavelet transform , materials science , artificial intelligence , computer science , composition (language) , biological system , analytical chemistry (journal) , algorithm , nanotechnology , chemistry , composite material , chromatography , inorganic chemistry , linguistics , philosophy , biology
The paper presents a technique for applying a wavelet analysis (continuous and discrete wavelet transforms) to analyze the elemental composition of nanostructures in order to identify the chemical composition. The experimental data were obtained by means of a scanning electron microscope. The acquisition, processing and study of spectra were carried out using the author’s software product “labpraktikum_osnov_wavelet”.