Comparative analysis of application of wavelet analysis for the recognition of element composition nanostructures

Abstract

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”.

Methods of Recognition Based on Wavelet Transform for Analysis of Characteristics of Spherical Quantum Dot

“…For effective data analysis with continuous wavelet transformation, it is necessary to carefully select a family of wavelets, according to the specifics of the research, in order to obtain the best conversion result. This is one of the reasons for the significant variety of wavelet functions, many of which are focused on the wavelet transformation of certain classes of signals and other analysis and synthesis tasks [1,2,6].…”