An introduction to information Theory and Entropy
Overview & Synopsis
This note covers Measuring complexity, Some probability ideas, Basics of information theory, Some entropy theory, The Gibbs inequality, A simple physical example Shannons communication theory, Application to Biology, Examples using Bayes Theorem, Analog channels, A Maximum Entropy Principle, Application to Physics lasers, KullbackLeibler information measure.
Indexed from repository: FreeBookCentre
(
freebookcentre.net)
Document Information
| Document Title | An introduction to information Theory and Entropy |
|---|---|
| Author / Organization | Tom Carter |
| Categories | Information Theory |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
FreeBookCentre
(freebookcentre.net)
|
| File Format | application/pdf (Portable Document Format) |
| Page Count | 139 pages |
| Language | EN |
| Catalog ID | DOC-309208 |
| Original Source Link | Visit Source Page on freebookcentre.net » |