Entropy Based Extraction and Classification of Frequency Hopping Signals from their TFDs (CROSBI ID 600327)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Saulig, Nicoletta ; Milanović, Željka ; Orović, Irena ; Stanković, Srdjan ; Sučić, Viktor
engleski
Entropy Based Extraction and Classification of Frequency Hopping Signals from their TFDs
This paper presents a method for extraction of frequency hopping signals, for the case of variable number of transmitters with aperiodic frequency hops. The mixture of signals generated by different transmitters are represented in the time-frequency domain, by time-frequency distributions belonging to the Quadratic class. Different components are extracted from the time-frequency distribution of the mixture, and classified among the various transmitting sources, using the information on the instantaneous number of components, hopping instants, and the total number of components estimated by using different orders of the time-frequency Renyi entropy
Time-frequency distributions; Frequency hopping signals; Component separation
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Podaci o prilogu
2013.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of International Symposium ELMAR-2013
Podaci o skupu
International Symposium ELMAR-2013
predavanje
25.09.2013-27.09.2013
Zadar, Hrvatska