Kazan Federal University Digital Repository

Using non-linear filters to identify critical frequencies based on vertical sounding

Show simple item record

dc.contributor.author Oleynik I.
dc.contributor.author Bochkarev V.
dc.date.accessioned 2020-01-15T22:11:51Z
dc.date.available 2020-01-15T22:11:51Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156984
dc.description.abstract © 2019 IEEE. This paper presents the method of estimation and filtration of time series of critical frequencies using a single quality criterion. The method involves processing of sets of ionograms over a long period of time and representing a series of critical frequencies in the form of a wavelet series with a small number of non-zero coefficients. Filtration of the foF2 series is performed with a nonlinear filter using genetic algorithms and L1 regularization. The method is tested on the ionograms obtained using the Cyclone ionosonde owned by Kazan Federal University in 2012.
dc.subject Genetic algorithms
dc.subject Ionogram
dc.subject Series of critical frequencies
dc.subject Wavelet thresholding
dc.title Using non-linear filters to identify critical frequencies based on vertical sounding
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 144
dc.source.id SCOPUS-2019-SID85072396638


Files in this item

This item appears in the following Collection(s)

  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics