OpenAlex | Upper and Lower Bounds to the Information Rate Transferred Through First-Order Markov Channels With Free-Running Continuous State

Upper and Lower Bounds to the Information Rate Transferred Through First-Order Markov Channels With Free-Running Continuous State

Work

Year: 2014

Type: article

Abstract: Starting from the definition of mutual information, one promptly realizes that the probabilities inferred by Bayesian tracking can be used to compute the Shannon information between the state and the ... more

Source: IEEE Transactions on Information Theory

Authors Luca Barletta, Maurizio Magarini, Simone Pecorino, A. Spalvieri

Institutions Technical University of Munich, Institute for Advanced Study, Politecnico di Milano

Cites: 32

Cited by: 23

Related to: 10

FWCI: 6.283

Citation percentile (by year/subfield): 88.91

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Reduced inequalities

Open Access status: green