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This correspondence considers the state estimation of hidden Markov models (HMMs) by sensor networks where the sensor nodes communicate with a fusion center via bandlimited fading channels. The objective is to minimize the long-term average of the mean-square state estimation error for the underlying Markov chain. By employing feedback from the fusion center, a dynamic quantization scheme for the...
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