DocumentCode
2052978
Title
Application of clustering methods for recognition of technical objects
Author
Matuszewski, Jan
Author_Institution
Mil. Univ. of Technol., Warsaw, Poland
fYear
2010
fDate
23-27 Feb. 2010
Firstpage
39
Lastpage
40
Abstract
In this paper the clustering methods with different similarity measures were used to classifying the intercepted signals generated by electromagnetic sources to one of the previously identified L classes in N-dimensional feature space. The quality of these methods performing technical objects recognition was examined by using the computer simulated date.
Keywords
object recognition; pattern clustering; signal classification; clustering methods; similarity measures; technical objects recognition; Antenna measurements; Clustering methods; Electromagnetic measurements; Extraterrestrial measurements; Object recognition; Radar antennas; Radio frequency; Signal generators; Signal processing; Space vector pulse width modulation; Clustering methods; classification; similarity measures;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location
Lviv-Slavske
Print_ISBN
978-966-553-875-2
Electronic_ISBN
978-966-553-901-8
Type
conf
Filename
5445997
Link To Document