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Channels With Cost Constraints: Strong Converse and Dispersion
Victoria Kostina, Sergio Verdú
Electrical and Computer Engineering
Mathematics
Research output
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Contribution to journal
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Article
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peer-review
19
Scopus citations
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Dive into the research topics of 'Channels With Cost Constraints: Strong Converse and Dispersion'. Together they form a unique fingerprint.
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Keyphrases
Strong Converse
100%
Cost Constraint
100%
Strong Dispersion
100%
Distributed Joint Source-channel Coding (DJSCC)
66%
Fundamental Limits
33%
Third Order
33%
Asymptotic Expansion
33%
Random Variables
33%
Information Density
33%
Refined Analysis
33%
Non-asymptotic Converse Bound
33%
Memoryless Channels
33%
Channel Coding Rate
33%
Computer Science
Asymptotic Expansion
100%
Fundamental Limit
100%
Lossy Source Coding
100%
joint source channel coding
100%
Random Variable
100%
Channel Coding Rate
100%
Engineering
Channel Coding
100%
Fundamental Limit
50%
Joint Source
50%
Lossy Source Coding
50%
Asymptotic Expansion
50%
Random Variable ξ
50%