Some Features of the Numerical Deconvolution of Mixed Molecular Spectra
Autor: | Iryna Lurie, Andrzej Smolarz, Mariia Voronenko, Serge Olszewski, Nataliia Savina, Volodymyr Lytvynenko, Svitlana Vyshemyrska, Paweł Komada, Anton Omelchuk |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030264734 ISDMCI |
DOI: | 10.1007/978-3-030-26474-1_2 |
Popis: | The direct method features of finding the weight coefficients of the mixed molecular spectrum components on the basis of their reference samples are considered in this paper. It has been established that the presence of additive noise in the output mixed spectrum generates a noise component with an unidentified probability distribution law in the found weight coefficients. The power generated by the noise can be several orders of magnitude higher than the power of the output signal additive noise. It is shown that the use of numerical methods for suppressing this noise, which is not based on its statistical characteristics, in particular, the median filtration, expands the limits of SNR, in which the proposed method maintains efficiency. |
Databáze: | OpenAIRE |
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