Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Achieving the stationary feedback capacity for Gaussian channels
Jialing Liu
,
Nicola Elia
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Achieving the stationary feedback capacity for Gaussian channels'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Coding Scheme
100%
Feedback Capacity
100%
Gaussian Channel
100%
Estimation System
66%
Feedback Communication
66%
Optimization Problem
33%
Decay Rate
33%
Feedback Control
33%
Information Rate
33%
Kalman Filter Algorithm
33%
Fundamental Limitations
33%
Cramér-Rao Bound
33%
Noisy Feedback
33%
Input Distribution
33%
Channels with Memory
33%
Maximum Information
33%
EliA
33%
Code Complexity
33%
Feedback Communication Systems
33%
Optimal Input Distribution
33%
Achievable Information Rate
33%
Control-theoretic
33%
Finite-dimensional Optimization
33%
Computer Science
Input Distribution
100%
Gaussian Channel
100%
Information Rate
100%
Optimization Problem
50%
Theoretic Characterization
50%
Cramer-Rao Bound
50%
Stationary Input
50%
Kalman Filter
50%
Engineering
Gaussians
100%
Coding Scheme
100%
Information Rate
66%
Optimisation Problem
33%
Limitations
33%
Filtering Algorithm
33%
Communication System
33%
Simplifies
33%
Kalman Filter
33%
Stationary Input
33%
Coding Delay
33%