Given a probability space, we analyze the uncertainty, that is, the amount of information of a finite system, by studying the entropy of the system. We also extend the concept of entropy to a dynamical system by introducing a measure preserving transformation on a probability space. After showing some theorems and applications of entropy theory, we study the concept of ergodicity, which helps us to further analyze the information of the system
The concept of information theory originated when an attempt was made to create a theoretical model ...
Proceedings, pp. 386—394 One of the important concepts in physics and mathematics is entropy. The co...
International audienceA quite general model of source that comes from dynamical systems theory is in...
Given a probability space, we analyze the uncertainty, that is, the amount of information of a finit...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
In summary, in the present Special Issue, manuscripts focused on any of the above-mentioned “Informa...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
Information Theory is studied from the following view points: (1) the theory of entropy as amount of...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
We give a survey of the basic statistical ideas underlying the definition of entropy in information ...
Shannon's famous paper [1] paved the way to a theory called information theory. In essence, the...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
This paper is a review of a particular approach to the method of maximum entropy as a general framew...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
Entropies. Several notions of entropies have been defined along the twentieth century. The role of a...
The concept of information theory originated when an attempt was made to create a theoretical model ...
Proceedings, pp. 386—394 One of the important concepts in physics and mathematics is entropy. The co...
International audienceA quite general model of source that comes from dynamical systems theory is in...
Given a probability space, we analyze the uncertainty, that is, the amount of information of a finit...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
In summary, in the present Special Issue, manuscripts focused on any of the above-mentioned “Informa...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
Information Theory is studied from the following view points: (1) the theory of entropy as amount of...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
We give a survey of the basic statistical ideas underlying the definition of entropy in information ...
Shannon's famous paper [1] paved the way to a theory called information theory. In essence, the...
This thesis is a formal presentation of entropy and related principles as they relate to probability...
This paper is a review of a particular approach to the method of maximum entropy as a general framew...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
Entropies. Several notions of entropies have been defined along the twentieth century. The role of a...
The concept of information theory originated when an attempt was made to create a theoretical model ...
Proceedings, pp. 386—394 One of the important concepts in physics and mathematics is entropy. The co...
International audienceA quite general model of source that comes from dynamical systems theory is in...