Add to ORKGThe subject of parameter estimation in linear signals embedded in white Gaussian noise has been extensively studied. The subject of nonlinear choatic signals, however, has received much less attention. This paper will examine some of the known techniques for estimating the parameters of chaotic signals such as iterative maps, including the tent map and the logistic map.
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Certain deterministic non-linear systems may show chaotic behaviour. Time series derived from such s...
The treatment of noise in chaotic time series remains a challenging subject in nonlinear time series...
A dynamic programming algorithm and a suboptimal but computationally efficient method for estimation...
Limited literature regarding parameter estimation of dynamic systems has been identified as the cent...
Parameter estimation problems for nonlinear dynamical sg stems are typically formulated as nonlinear...
We consider the problem of signal estimation where the observed time series is modeled as yi=xi+si w...
This paper describes a simple method for detecting a class of first order or low dimensional discret...
Symbolic time-series analysis is used for estimating the parameters of chaotic systems. It is assume...
In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map b...
This work presents novel techniques for state estimation of nonlinear stochastic systems, especially...
This paper considers Markov Chain Monte Carlo (MCMC) methods for the estimation in Additive White Ga...
Filtering noise and estimation of a signal in chaotic time series is possible in some cases. Conside...
Certain deterministic non-linear systems may show chaotic behaviour. Time series derived from such s...
This work presents novel techniques for state estimation of nonlinear stochastic systems, especially...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Certain deterministic non-linear systems may show chaotic behaviour. Time series derived from such s...
The treatment of noise in chaotic time series remains a challenging subject in nonlinear time series...
A dynamic programming algorithm and a suboptimal but computationally efficient method for estimation...
Limited literature regarding parameter estimation of dynamic systems has been identified as the cent...
Parameter estimation problems for nonlinear dynamical sg stems are typically formulated as nonlinear...
We consider the problem of signal estimation where the observed time series is modeled as yi=xi+si w...
This paper describes a simple method for detecting a class of first order or low dimensional discret...
Symbolic time-series analysis is used for estimating the parameters of chaotic systems. It is assume...
In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map b...
This work presents novel techniques for state estimation of nonlinear stochastic systems, especially...
This paper considers Markov Chain Monte Carlo (MCMC) methods for the estimation in Additive White Ga...
Filtering noise and estimation of a signal in chaotic time series is possible in some cases. Conside...
Certain deterministic non-linear systems may show chaotic behaviour. Time series derived from such s...
This work presents novel techniques for state estimation of nonlinear stochastic systems, especially...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Certain deterministic non-linear systems may show chaotic behaviour. Time series derived from such s...
The treatment of noise in chaotic time series remains a challenging subject in nonlinear time series...