Directed information on abstract spaces: Properties and variational equalities
CD Charalambous, PA Stavrou - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Directed information or its variants are utilized extensively in the characterization of the
capacity of channels with memory and feedback, nonanticipative lossy data compression …
capacity of channels with memory and feedback, nonanticipative lossy data compression …
Optimal Control and Signaling Strategies of Control-Coding Capacity of General Decision Models: Applications to Gaussian Models and Decentralized Strategies
We investigate the control-coding (CC) capacity of general dynamical decision models
(DMs) that involve nonlinear filtering, which is absent in the specific DMs investigated in [CK …
(DMs) that involve nonlinear filtering, which is absent in the specific DMs investigated in [CK …
Capacity achieving distributions and separation principle for feedback Gaussian channels with memory: The LQG theory of directed information
CD Charalambous, CK Kourtellaris… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A method is developed to realize optimal channel input conditional distributions, which
maximize the finite transmission feedback information (FTFI) capacity, often called n-block …
maximize the finite transmission feedback information (FTFI) capacity, often called n-block …
Feedback Capacity of Nonlinear Decision Models with General Noise: Gaussian Applications with Filtering and Control Riccati Equations
CD Charalambous, S Louka - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
We characterize the feedback capacity C_FB of general nonlinear decision models (N-DM)
through the n-finite trans-mission or block length feedback information (n-FTFI) capacity …
through the n-finite trans-mission or block length feedback information (n-FTFI) capacity …
Ergodic control-coding capacity of stochastic control systems: Information signalling and hierarchical optimality of Gaussian systems
The control-coding (CC) capacity of dynamical decision models (DMs) is defined as the
maximum amount of information transfer per unit time from its inputs to its outputs, called CC …
maximum amount of information transfer per unit time from its inputs to its outputs, called CC …
Information structures for feedback capacity of channels with memory and transmission cost: Stochastic optimal control and variational equalities
CK Kourtellaris… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Stochastic optimal control theory and a variational equality of directed information are
applied, to develop a methodology to identify the information structures of optimal channel …
applied, to develop a methodology to identify the information structures of optimal channel …
A connection between feedback capacity and Kalman filter for colored Gaussian noises
In this paper, we establish a connection between the feedback capacity of additive colored
Gaussian noise channels and the Kalman filters with additive colored Gaussian noises. In …
Gaussian noise channels and the Kalman filters with additive colored Gaussian noises. In …
Some results on the computation of feedback capacity of Gaussian channels with memory
We study the problem of computing the capacity of channels with feedback for the class of
Gaussian channels with linear state-space models (possibly with hidden states) under the …
Gaussian channels with linear state-space models (possibly with hidden states) under the …
Feedback capacity of parallel ACGN channels and Kalman filter: Power allocation with feedback
In this paper, we relate the feedback capacity of parallel additive colored Gaussian noise
(ACGN) channels to a variant of the Kalman filter. By doing so, we obtain lower bounds on …
(ACGN) channels to a variant of the Kalman filter. By doing so, we obtain lower bounds on …
Sequential necessary and sufficient conditions for optimal channel input distributions of channels with memory and feedback
PA Stavrou, CD Charalambous… - … on Information Theory …, 2016 - ieeexplore.ieee.org
We derive Sequential Necessary and Sufficient Conditions (SNSC) for any channel input
distribution P 0, n= ̑ {P ((X t)| X t-1, Y t-1): t= 0, 1,..., n} to maximize directed information for …
distribution P 0, n= ̑ {P ((X t)| X t-1, Y t-1): t= 0, 1,..., n} to maximize directed information for …