Abstract:In the recent years, wireless communications are extremely useful in many disciplines including health monitoring,
environment monitoring, signal processing etc. State estimation and prediction are quite challenging tasks in wireless
communications. Traditionally, in the literature, dynamic state-space models have been used for the state estimation and predic- tion purpose. The
estimation method is based on Kalman-Filter which is computationally demanding. In this work, we consider computationally simpler Gibb… Show more
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