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Source coding with distortion profile constraints
Pierre Moulin
Electrical and Computer Engineering
Beckman Institute for Advanced Science and Technology
Statistics
Information Trust Institute
Coordinated Science Lab
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Source coding with distortion profile constraints'. Together they form a unique fingerprint.
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Keyphrases
Average Distortion
100%
Block Size
100%
Coding Redundancy
100%
Coding Scheme
100%
Discrete Memoryless Source
100%
Dispersion Law
100%
Distortion Constraints
100%
Distortion Profiles
100%
Distribution Profile
100%
Exact Asymptotics
100%
Fidelity Constraint
100%
Fixed-length Code
100%
Input Type
100%
Log-log
100%
Multiple Constraints
100%
Normal Random Variable
100%
Popular
100%
Random Coding
100%
Rate-distortion Theory
100%
Second-order Rate
100%
Source Code
100%
Source Rate
100%
Tail Probability
100%
Engineering
Blocklength
100%
Coding Scheme
100%
Constrains
100%
Length Code
100%
Main Type
100%
Memoryless Source
100%
Multiple Constraint
100%
Random Variable ξ
100%
Source Rate
100%
Computer Science
Distortion Constraint
100%
Memoryless Source
100%
Random Coding Scheme
100%
Random Variable
100%
Rate Distortion Theory
100%
Tail Probability
100%
Mathematics
Asymptotics
33%
Coding Scheme
33%
Constrains
33%
Dependent Type
33%
Dispersion Function
33%
Memoryless
33%
Pointwise
33%
Probability Theory
100%
Random Variable
33%
Tail Probability
33%
Upper Bound
33%