Title :
Automatic Classificiation of MFSK Signals by the Wavelet Transforms
Author :
Zhou, Xin ; Wu, Ying
Author_Institution :
Inst. of Inf. Eng., Inf. Eng. Univ., Henan
Abstract :
Automatic identification of the digital modulation signal has more and more important applications in many areas. This paper studies the use of wavelet transform for MFSK signals identification. A new clustering method which mixes subtractive and c-means algorithm is used in classifier. The performance of the identifier is investigated through simulations
Keywords :
frequency shift keying; signal classification; wavelet transforms; MFSK signals; MFSK signals identification; c-means algorithm; clustering method; digital modulation signal; signals automatic classification; subtractive; wavelet transforms; Amplitude modulation; Clustering algorithms; Digital modulation; Frequency modulation; Frequency shift keying; Phase modulation; Phase shift keying; Pulse modulation; Signal processing; Wavelet transforms;
Conference_Titel :
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0463-0
Electronic_ISBN :
1-4244-0463-0
DOI :
10.1109/CHINACOM.2006.344789
