Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference26 articles.
1. Weaver, C. S., Cole, C. A., & Krumland, R. B. (1969). The automatic classification of modulation types by pattern recognition. Stanford electronic laboratories: Stanford University.
2. Huan, C. Y., & Polydoros, A. (1995). Likelihood methods for MPSK modulation classification. IEEE Transactions on Communications, 43(234), 1504.
3. Wei, W., & Mendel, J. M. (2000). Maximum-likelihood classification for digital amplitude-phase modulations. IEEE Transactions on Communications, 48(2), 189–193.
4. Boiteau, D., & Martret, C. L. (1998). A general maximum likelihood framework for modulation classification. In IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2165–2168).
5. Panagiotou, P., Anastasopoulos, A., & Polydoros, A. (2000). Likelihood ratio tests for modulation classification. In IEEE Milcom Century Military Communications Conference.
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