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MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions
- Source :
- IEEE Signal Processing Letters. 24:402-406
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- We present a series of closed-form upper bounds of the differential entropy of univariate continuous distributions based on the maximum entropy principle. We apply those bounds to Gaussian mixture models, and study their tightness properties.
- Subjects :
- Applied Mathematics
Principle of maximum entropy
Maximum entropy thermodynamics
Min entropy
020206 networking & telecommunications
02 engineering and technology
01 natural sciences
010305 fluids & plasmas
Combinatorics
Differential entropy
Rényi entropy
0103 physical sciences
Signal Processing
Maximum entropy probability distribution
0202 electrical engineering, electronic engineering, information engineering
Applied mathematics
Electrical and Electronic Engineering
Joint quantum entropy
Entropy rate
Mathematics
Subjects
Details
- ISSN :
- 15582361 and 10709908
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- IEEE Signal Processing Letters
- Accession number :
- edsair.doi...........7bd940b7e63349cfcf8cd6f94f3bb3fd
- Full Text :
- https://doi.org/10.1109/lsp.2017.2666792