| Description |
1 online resource : text file, PDF |
| Contents |
1. Probability in brief -- 2. The concept of entropy -- 3. Entropy for discrete probability distributions -- 4. Differential entropies for probability distributions -- 5. Differential entropy as a function of variance -- 6. Applications of differential entropy -- 7. Appendices |
| Summary |
One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment. Handbook of Differential Entropy provides a comprehensive introduction to the subject for researchers and students in information theory. Unlike related books, this one brings together background material, derivations, and applications of differential entropy. The handbook first reviews probability theory as it e |
| Notes |
"A CRC title." |
| Bibliography |
Includes bibliographical references (pages 217-220) and index |
| Subject |
Entropy.
|
|
Mathematical physics.
|
|
entropy.
|
|
Entropy
|
|
Mathematical physics
|
| Form |
Electronic book
|
| Author |
Michalowicz, Joseph Victor, 1941- author.
|
|
Nichols, Jonathan Michael, author
|
| ISBN |
9781466583177 |
|
1466583177 |
|
