FR1.R4.3

Feedback Capacity of Nonlinear Decision Models with General Noise: Gaussian Applications with Filtering and Control Riccati Equations

Charalambos Charalambous, Stelios Louka, University of Cyprus, Cyprus
Session:
Capacity and Guessing
Track:
9: Shannon Theory
Location:
Omikron II
Presentation Time:
Fri, 12 Jul, 10:25 - 10:45
Session Chair:
Charalambos Charalambous, University of Cyprus
Presentation
Not logged in.
Discussion
Not logged in.
Session FR1.R4
FR1.R4.1: Soft Guessing Under Log-Loss Distortion Allowing Errors
Shota Saito, Gunma University, Japan
FR1.R4.2: What can Information Guess ? Guessing Advantage vs. Rényi Entropy for Small Leakages
Julien Béguinot, Olivier Rioul, Télécom Paris, France
FR1.R4.3: Feedback Capacity of Nonlinear Decision Models with General Noise: Gaussian Applications with Filtering and Control Riccati Equations
Charalambos Charalambous, Stelios Louka, University of Cyprus, Cyprus
FR1.R4.4: Improved bounds on the interactive capacity via error pattern analysis
Mudit Aggarwal, University of British Columbia, Vancouver, Canada; Manuj Mukherjee, Indraprastha Institute of Information Technology Delhi, India
Resources
No resources available.