Skip to main navigation
Skip to search
Skip to main content
University of Illinois Urbana-Champaign Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Dissipation of information in channels with input constraints
Yury Polyanskiy, Yihong Wu
Electrical and Computer Engineering
Statistics
Coordinated Science Lab
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dissipation of information in channels with input constraints'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Signal-to-noise Ratio
100%
Divergence
100%
Input Constraints
100%
Discrete Channel
100%
Exponential Decay
50%
Fundamental Limits
50%
Mutual Information
50%
Information Theory
50%
Total Variation
50%
Log-log
50%
Nonlinear Function
50%
Input Costs
50%
Power Constrained
50%
Bounded Degree
50%
Cost Constraint
50%
Stochastic Control
50%
Bit Error Probability
50%
Gaussian Channel
50%
Gibbs Measure
50%
Threshold Behavior
50%
Additive Noise Channels
50%
Data Processing Inequality
50%
Relay Channel
50%
Correlation Decay
50%
Fan-in
50%
Dobrushin Coefficient
50%
Contraction Coefficient
50%
Engineering
Signal-to-Noise Ratio
100%
Input Constraint
100%
Gaussians
50%
Gibbs Free Energy
50%
Exponential Decay
50%
Fundamental Limit
50%
Mutual Information
50%
Total Variation
50%
Additive Noise
50%
Nonlinear Function
50%
Bit Error
50%
Threshold Behavior
50%
Contraction Coefficient
50%
Mathematics
Noise Ratio
100%
Probability Theory
50%
Stochastics
50%
Gaussian Distribution
50%
Mutual Information
50%
Total Variation
50%
Additive Noise
50%
Information Theory
50%
Bit Error
50%
Nonlinear Function
50%
Computer Science
Noise-to-Signal Ratio
100%
Fundamental Limit
50%
Mutual Information
50%
Total Variation
50%
Data Processing
50%
Information Theory
50%
Stochastic Control
50%
Gaussian Channel
50%
Nonlinear Function
50%
Exponential Decay
50%