… communication between the sensor and the estimator was assumed to be perfect (noiseless),
in this work an additive noise … channel noise densities, we obtain the optimal encoding and …

… We uncover two surprising facts: first, the optimal estimation error over the time horizon …
of communication opportunities exceeds some threshold. In other words, the communication …

… -output mutual information and the MMSE achievable by optimal estimation of the input
given the output through an additive Gaussian noise channel for different variations (such as …

… These information disclosures, or transmissions, are assumed to be error and noise free, and
the problem is to jointly … We first consider the problem of finding the optimal estimator ˆµ∗ …

… estimation and show that the optimal scheduling policy for the noisy channel estimation …
that the optimal scheduling policy under noisy channel estimation is a pure threshold policy: …

… These information disclosures, or transmissions, are assumed to be error and noise free, …
in a communication-theoretic setting we may call them an encoder and a decoder, respectively. …

… estimation model to admit transmission imperfectness, ie, we consider the case where the
quantized noisy sensor observations are corrupted by additive noise … of communication links …

… In Section V we present the methodology for sequentially determining globally optimal
communication strategies. In Section VI we discuss different approaches to decentralized …

… optimal real-time encoders and decoders for communication systems consisting of Markov
sources, noisy … We are interested in the structure of optimal real-time encoders and decoders, …

… of an optimal estimator by operating at higher noise levels. The … the optimal estimator where
a nonzero optimal level of noise can improve upon the performance in the absence of noise. …