Chunquan He

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Robust networks can maintain their characteristics under perturbation, which is rooted in the different topology structure.However, previous study of the relationship between network robustness and topology structure is based on a static context. We study the effects of network topology on the network robustness from an dynamic points of view. We explore(More)
A method of blind estimation of signal and parameters of the channel model is proposed in an impulsive noise environment. A mixture of the symmetric alpha stable distribution and the Gaussian distribution is used to model the noise. Model parameters and signal are simultaneously estimated by iterative procedures derived from the Markov Chain Monte Carlo(More)
In this paper, we proposed a semi blind channel estimation and symbol detection approach based on superimposed training (ST) sequence. At the transmitter, a periodic training sequence is arithmetically added to the information sequence in a lower power. A complex Gaussian random Rayleigh frequency-selective channel is used for simulation. At the receiver,(More)
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