Relative Information
Theories and Applications
Our rough guess is there are 64,500 words in this book.
At a pace averaging 250 words per minute, this book will take 4 hours and 18 minutes to read. With a half hour per day, this will take 9 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Publication
1990 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
64,500 words, Guess
Page Count
258 pages
Physical Format
[electronic resource] :
Identifiers
- Open LibraryOL27085144M
- ISBN-139783642840197
- ISBN-103642840191
- OCLC Control Number851391535
- OCLC Control Numberrelativeinformat00juma
Classifications
- DDC534
- LCCQC221-246
Description
There are many open problems related to Shannon information theory. For instance, it has long been recognized that the theory does not take account of the subjectivity of the observer, but all previous attempts to deal with this remained at a rather qualitative level. Another problem is the apparent discrepancy between discrete and continuous entropy. And a task of paramount importance is to define the Shannon entropy of a stochastic trajectory and of a deterministic function. This book provides thorough answers to these questions by suitably modifying Shannon theory. It presents a quantitative model of subjective information, a unified approach to discrete and continuous entropy, a theory of information for stochastic functions, and a model of Shannon entropy of deterministic maps which is quite different from Kolmogorov entropy.
Subjects
Series Statement
- Springer Series in Synergetics -- 47
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!