Application of clustering methods for recognition of technical objects

Application of clustering methods for recognition of technical objects

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 recogn...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Matuszewski, Jan
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Antenna measurements
classification
Clustering methods
Electromagnetic measurements
Extraterrestrial measurements
Object recognition
Radar antennas
Radio frequency
Signal generators
Signal processing
similarity measures
Space vector pulse width modulation
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Beschreibung
Zusammenfassung: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.