Title :
Application of clustering methods for recognition of technical objects
Author :
Matuszewski, Jan
Author_Institution :
Mil. Univ. of Technol., Warsaw, Poland
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;
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
