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In this paper, a new likelihood-based method for classifying phase-amplitude-modulated signals in Additive White Gaussian Noise (AWGN) is proposed. The method introduces a new Markov Chain Monte Carlo (MCMC) algorithm, called the Adaptive Metropolis (AM) algorithm, to directly generate the samples of the target posterior distribution and implement the multidimensional integrals of likelihood function...
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