The Markov and non-Markov processes in complex systems are examined with the help of dynamical information Shannon entropy method. Here we consider the essential role of two mutually independent channels of entropy involving creation of correlation and annihilation of correlation. The developed method has been used to analyze the intensity fluctuation of the complex systems of various nature: in psychology (to analyze numerical and pattern short-time human memory, to study the effect of stress on the parameters of the dynamical taping-test) and in cardiology (to analyze the random dynamics of RR-intervals in human ECG's and to diagnose various diseases of human cardiovascular systems). The received results show that the application of inten...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...
We study how the Shannon entropy of sequences produced by an information source converges to the sou...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...
The Markov and non-Markov processes in complex systems are examined with the help of dynamical infor...
We consider the Markov and non-Markov processes in complex systems by the dynamical information Shan...
Kinetic behaviour of dynamical information Shannon entropy is discussed for complex systems: physica...
In this work, we offer a new approach to the concept of the information entropy for the description ...
In this paper we present the concept of description of random processes in complex systems with disc...
Measures of entropy have been proved as powerful quantifiers of complex nonlinear systems, particula...
Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse field...
Measures of entropy have been widely used to characterize complexity, particularly in physiological ...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...
We study how the Shannon entropy of sequences produced by an information source converges to the sou...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...
The Markov and non-Markov processes in complex systems are examined with the help of dynamical infor...
We consider the Markov and non-Markov processes in complex systems by the dynamical information Shan...
Kinetic behaviour of dynamical information Shannon entropy is discussed for complex systems: physica...
In this work, we offer a new approach to the concept of the information entropy for the description ...
In this paper we present the concept of description of random processes in complex systems with disc...
Measures of entropy have been proved as powerful quantifiers of complex nonlinear systems, particula...
Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse field...
Measures of entropy have been widely used to characterize complexity, particularly in physiological ...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...
We study how the Shannon entropy of sequences produced by an information source converges to the sou...
The theory of Shannon entropy was applied to the Choi-Williams time-frequency distribution (CWD) of ...