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.
| Original language | English |
|---|---|
| Article number | 7849175 |
| Pages (from-to) | 402-406 |
| Number of pages | 5 |
| Journal | IEEE Signal Processing Letters |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2017 |
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