In symbolic dynamics, the definition of a symbolic sequence from a continuous times series depends on the use of an appropriate par-tition of the phase space. In fact, the best way is to estimate a gen-erating partition. However, it is not possible to find generating partitions for most ex-perimental observations because such partitions do not exist when noise is present. In this paper, different partition methods applied to stochastic and chaotic system will be compared in order to choose one which con-serves system entropy rate. This partition is called a Markov parti-tion. General Terms: Markov partition, symbolic dynami
A procedure to obtain the symbolic dynamics for conservative dynamical systems is introduced with re...
We show in detail how methods of time series analysis such as dimension and entropy estimates suppor...
We consider a method of applied symbolic dynamics which may be used to obtain wide spectrum of chara...
Symbolic dynamics is a powerful tool in the study of dynamical systems. The purpose of symbolic dyna...
The concept of symbolic dynamics, entropy and complexity measures has been widely utilized for the ...
A symbolic analysis of observed time series requires a discrete partition of a continuous state spac...
Symbolic time series analysis D-Markov machines a b s t r a c t A recent publication has reported a ...
The thermodynamic formalism allows one to access the chaotic properties of equi-librium and out-of-e...
The thermodynamic formalism allows one to access the chaotic properties of equilibrium and out-of-eq...
We introduce a relaxation algorithm to estimate approximations to generating partitions for observed...
A possibility of a relation between the Kolmogorov-Sinai entropy of a dynamical system and the entro...
This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for p...
State space lumping is one of the classical means to fight the state space explosion problem in stat...
The symbolic dynamics technique is well known for low-dimensional dynamical systems and chaotic maps...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
A procedure to obtain the symbolic dynamics for conservative dynamical systems is introduced with re...
We show in detail how methods of time series analysis such as dimension and entropy estimates suppor...
We consider a method of applied symbolic dynamics which may be used to obtain wide spectrum of chara...
Symbolic dynamics is a powerful tool in the study of dynamical systems. The purpose of symbolic dyna...
The concept of symbolic dynamics, entropy and complexity measures has been widely utilized for the ...
A symbolic analysis of observed time series requires a discrete partition of a continuous state spac...
Symbolic time series analysis D-Markov machines a b s t r a c t A recent publication has reported a ...
The thermodynamic formalism allows one to access the chaotic properties of equi-librium and out-of-e...
The thermodynamic formalism allows one to access the chaotic properties of equilibrium and out-of-eq...
We introduce a relaxation algorithm to estimate approximations to generating partitions for observed...
A possibility of a relation between the Kolmogorov-Sinai entropy of a dynamical system and the entro...
This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for p...
State space lumping is one of the classical means to fight the state space explosion problem in stat...
The symbolic dynamics technique is well known for low-dimensional dynamical systems and chaotic maps...
Chaotic systems share with stochastic processes several properties that make them almost undistingui...
A procedure to obtain the symbolic dynamics for conservative dynamical systems is introduced with re...
We show in detail how methods of time series analysis such as dimension and entropy estimates suppor...
We consider a method of applied symbolic dynamics which may be used to obtain wide spectrum of chara...