We show that the optimal pre-processor follows a symmetric threshold policy, and that the optimal estimator is a Kalman-like filter that updates its estimate ...

We show that the optimal pre-processor follows a symmetric threshold policy, and that the optimal estimator is a Kalman-like filter that updates its estimate ...

We show that the optimal pre-processor follows a symmetric threshold policy, and that the optimal estimator is a Kalman-like filter that updates its estimate ...

TL;DR: This paper shows that the optimal pre-processor follows a symmetric threshold policy, and the optimal estimator is a Kalman-like filter that updates its ...

Oct 2, 2009 · Abstract—Consider a first order, linear and time-invariant discrete time system driven by Gaussian, zero mean white.

In networked systems that suffer from data packet drops, transmitting multiple, redundant packets during each sampling interval can improve estimation ...

In networked systems that suffer from data packet drops, transmitting multiple, redundant packets during each sampling interval can improve estimation ...

Abstract: In networked systems that suffer from data packet drops, transmitting multiple, redundant packets during each sampling interval can improve ...

Abstract—We investigate a remote estimation problem in which a transmitter observes a Markov source and chooses the power level to transmit it over a ...

In this article we concentrate on the problem of con- trol and estimation in the presence of packet losses, leaving other important features of NCSs (such ...