Locally linearized Markov chain approximate models in signal detection

The author presents a novel method of signal detection based on the locally linearized Markov chain approximate models of the Rayleigh process, the Rician process, and the Gaussian process. Monte Carlo simulation demonstrates that these models are superior in quality and, that the new method of detection is effective.<
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