Automatic Classificiation of MFSK Signals by the Wavelet Transforms

Xin  Zhou; Ying  Wu

1st International ICST Conference on Communications and Networking in China

Research Article

Automatic Classificiation of MFSK Signals by the Wavelet Transforms

Cite: BibTeX Plain Text

@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

Xin Zhou^1,2^,*, Ying Wu^1,2

1: Information Engineering Institute, Information Engineering University,
2: Zhengzhou Henan Province, 450002, China

*Contact email: zx007_0_0@126.com

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

Published: 2007-04-10
Publisher: IEEE

: http://dx.doi.org/10.1109/CHINACOM.2006.344789