Research Article
Automatic Classificiation of MFSK Signals by the Wavelet Transforms
@INPROCEEDINGS{10.1109/CHINACOM.2006.344789, author={Xin Zhou and Ying Wu}, title={Automatic Classificiation of MFSK Signals by the Wavelet Transforms}, proceedings={1st International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2007}, month={4}, keywords={}, doi={10.1109/CHINACOM.2006.344789} }
- Xin Zhou
Ying Wu
Year: 2007
Automatic Classificiation of MFSK Signals by the Wavelet Transforms
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2006.344789
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
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