Short blocklength process monitoring and scheduling: Resolution and data freshness
In cyber-physical systems (CPSs) and internet-of-things applications, various sensor-
actuator pairs are deployed for control purposes which require timely online communication …
actuator pairs are deployed for control purposes which require timely online communication …
Remote short blocklength process monitoring: Trade-off between resolution and data freshness
In cyber-physical systems, as in 5G and beyond, multiple physical processes require timely
online monitoring at a remote device. There, the received information is used to estimate …
online monitoring at a remote device. There, the received information is used to estimate …
On the asymptotic optimality of a low-complexity coding strategy for WSS, MA, and AR vector sources
In this paper, we study the asymptotic optimality of a low-complexity coding strategy for
Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a …
Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a …
Special issue on rate distortion theory and information theory
J Gibson - Entropy, 2018 - pmc.ncbi.nlm.nih.gov
Shannon introduced the fields of information theory and rate distortion theory in his
landmark 1948 paper [1], where he defined “The Rate for a Source Relative to a Fidelity …
landmark 1948 paper [1], where he defined “The Rate for a Source Relative to a Fidelity …
Low-Complexity Alternatives to the Optimal Linear Coding Scheme for Transmitting ARMA Sources
In the era of the Internet of Things, there are many applications where numerous devices are
deployed to acquire information and send it to analyse the data and make informed …
deployed to acquire information and send it to analyse the data and make informed …
A Low-Complexity and Asymptotically Optimal Coding Strategy for Gaussian Vector Sources
In this paper, we present a low-complexity coding strategy to encode (compress) finite-
length data blocks of Gaussian vector sources. We show that for large enough data blocks of …
length data blocks of Gaussian vector sources. We show that for large enough data blocks of …
A low-complexity analog linear coding scheme for transmitting asymptotically WSS AR sources
J Gutiérrez-Gutiérrez, FM Villar-Rosety… - IEEE …, 2019 - ieeexplore.ieee.org
A Low-Complexity Analog Linear Coding Scheme for Transmitting Asymptotically WSS AR
Sources Page 1 IEEE COMMUNICATIONS LETTERS, VOL. 23, NO. 5, MAY 2019 773 A Low-Complexity …
Sources Page 1 IEEE COMMUNICATIONS LETTERS, VOL. 23, NO. 5, MAY 2019 773 A Low-Complexity …
On the asymptotic optimality of a low-complexity coding strategy for WSS, MA, and AR vector sources
M Zárraga-Rodríguez, X Insausti-Sarasola… - 2020 - dadun.unav.edu
In this paper, we study the asymptotic optimality of a low-complexity coding strategy for
Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a …
Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a …
Rate Distortion Study for Time-Varying Autoregressive Gaussian Process
JC Wu - arxiv preprint arxiv:1910.14228, 2019 - arxiv.org
Rate-distortion formulation is the information-theoretic approach to the study of signal
encoding systems. Since a more general approach to model the nonstationarity exhibited by …
encoding systems. Since a more general approach to model the nonstationarity exhibited by …