DocumentCode :
1773106
Title :
The identification of radar signals by histogram description leads to cluster analysis processing
Author :
Zak, Jan ; Zavorka, Petr
Author_Institution :
Univ. of Defence, Brno, Czech Republic
fYear :
2014
fDate :
16-18 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
Article deals with current situation of the histogram use. Overwhelming majority of ELINT systems applies histogram depiction in their analytic displays. Significant majority of distinguished radar signals experts use their advantageous function. This contribution shows breaking approach in histogram description via Gaussian function. Particular parts are aimed into creation of data library. This is followed by experimental demonstration of real data sample histograms which leads to cluster analysis processing. Next part is dedicated to cluster processing and useful tools for testing cluster algorithms - SW tools Orange and WEKA.
Keywords :
Gaussian processes; radar signal processing; statistical analysis; ELINT systems; Gaussian function; Orange; SW tools; WEKA; cluster analysis processing; data library; histogram description; radar signals; real data sample histograms; Educational institutions; Histograms; Libraries; Machine learning algorithms; Radar; Shape; Vectors; ELINT; cluster analysis; histogram; signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2014 15th International
Conference_Location :
Gdansk
Print_ISBN :
978-617-607-552-3
Type :
conf
DOI :
10.1109/IRS.2014.6869267
Filename :
6869267
Link To Document :
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