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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)
Digital Modulation Identification by Wavelet Analysis
Las Vegas, Nevada
August 16-August 18
ISBN: 0-7695-2358-7
Jian Chen, Xidian University
Yonghong Kuo, Xidian University
Jiandong Li, Xidian University
Fenglin Fu, Xidian University
Yubao Ma, Xidian University
There is a need to determine the modulation type of an incoming signal. This paper proposes the use of the wavelet transform (WT) for modulation identification of digital signals without requiring any priori knowledge. The identifier consists of inter-class and intra-class identification. Different features have been used for different signals to increase the number of identification types and improve the processing rate. The performance of correct identification is increased too.
Citation:
Jian Chen, Yonghong Kuo, Jiandong Li, Fenglin Fu, Yubao Ma, "Digital Modulation Identification by Wavelet Analysis," iccima, pp.29-34, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005
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