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Second-order asymptotics of mutual information
Viacheslav V. Prelov
, 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
90
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Keyphrases
Mutual Information
100%
Second-order Asymptotics
100%
Wideband Regime
33%
Input-output
33%
Input Signals
33%
Signal-to-noise Ratio
33%
Asymptotic Expansion
33%
Covariance Matrix
33%
Second Term
33%
Gaussian Noise
33%
Input Distribution
33%
Channel Model
33%
Random Parameters
33%
Additive Noise
33%
Fading Channels
33%
Signalling Strategy
33%
Mixed Moments
33%
Channel Distribution
33%
Random Channel
33%
Second Order Expansion
33%
Mathematics
Asymptotics
100%
Mutual Information
100%
Gaussian Distribution
66%
Asymptotic Expansion
33%
Input Signal
33%
Covariance Matrix
33%
Noise Ratio
33%
Additive Noise
33%
Channel Model
33%
Engineering
Mutual Information
100%
Input Signal
33%
Gaussians
33%
Gaussian White Noise
33%
Signal-to-Noise Ratio
33%
Covariance Matrix
33%
Fading Channel
33%
Asymptotic Expansion
33%
Channel Model
33%
Distribution Channel
33%
Additive Noise
33%
Power Bandwidth
33%
Computer Science
Mutual Information
100%
Asymptotic Expansion
33%
Channel Channel
33%
Covariance Matrix
33%
Noise-to-Signal Ratio
33%
Input/Output
33%
Gaussian White Noise
33%
Fading Channel
33%
Power Bandwidth
33%
Earth and Planetary Sciences
Covariance
100%
Random Noise
100%
Broadband
100%
Economics, Econometrics and Finance
Distribution Channel
100%