Recognition of analog-modulated signals based on a novel RBF network

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Infrared and Laser Engineering >Volume 33 >Issue 1 >Page 63 > Article

Infrared and Laser Engineering
Vol. 33, Issue 1, 63 (2004)

Recognition of analog-modulated signals based on a novel RBF network

[in Chinese]^*, [in Chinese], and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese], [in Chinese]. Recognition of analog-modulated signals based on a novel RBF network[J]. Infrared and Laser Engineering, 2004, 33(1): 63 Copy Citation Text

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References

[1] Nandi A K, Azzouz E E. Algorithm for automatic modulation recognition of communication signals [J]. IEEE Trans on Communication, 1998, 46(4): 431-436.

[2] Bernard Mulgrew. Applying radial basis functions [J]. IEEE Signal Processing Magazine, 1996, 13(2): 50-65.

[3] De Castro L N, Von Zuben F J. An immunological approach to initialize centers of radial basis function neural networks [A]. Proceedings of V Brazilian Conference on Neural Networks[C]. 2001.79-84.

[4] Angeline P J, Saunders G M, Pollack J B. An evolutionary algorithm that constructs recurrent neural networks [J]. IEEE Trans on Neural Networks, 1994, 5(1): 54-64.

[6] Ho K C, Prokopiw W, Chan Y T. Modulation identification by the wavelet transform [A]. Proc MILCOM'95[C]. 1995. 886-890.

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[in Chinese], [in Chinese], [in Chinese]. Recognition of analog-modulated signals based on a novel RBF network[J]. Infrared and Laser Engineering, 2004, 33(1): 63

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