Add to ORKGThis paper introduces a new method to estimating the parameters of a noncausal AR model. This method is based on a new formulation that relates the unknown AR parameters to both second- and higher- order cumulants. A genetic algorithm has been used in this paper to solve for the unknown AR parameters by minimizing a nonlinear cost function that is defined in terms of model's output cumulants
Abstract—An important family of blind equalization algorithms identify a communication channel model...
The design, implementation and use of GAPILib is discussed in this manuscript. GAPILib is a new Mode...
The article examines the possibility to estimate parameters of Fractional Arima Process using geneti...
This paper introduces a new method to estimating the parameters of a noncausal AR model. This method...
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers-This correspondence proposes a ...
[[abstract]]Proposes a new nonlinear parameter estimation method for a noncausal autoregressive (AR)...
In this paper, a new method for estimating the parameters of a digital communication channel, from o...
In this paper, a new method for estimating the parameters of a nonminimum phase, linear, time-invari...
In this paper, some new algorithms for estimating the biasing parameters of the ridge, Liu and two-p...
In this article, a procedure for characterizing the feasible parameter set of nonlinear models with ...
The first step of forecasting time series is to build an appropriate model. Determining orders and e...
The authors perform an analytic study of some cumulant-based methods for estimating the AR parameter...
<p>Each line represents a different set of parameters. The optimization algorithm has successfully c...
A new type of difference equations is suggested for generalized cumulant models of autoregression of...
Abstract — Parameter estimation can also be classified as an optimization where the objective is to ...
Abstract—An important family of blind equalization algorithms identify a communication channel model...
The design, implementation and use of GAPILib is discussed in this manuscript. GAPILib is a new Mode...
The article examines the possibility to estimate parameters of Fractional Arima Process using geneti...
This paper introduces a new method to estimating the parameters of a noncausal AR model. This method...
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers-This correspondence proposes a ...
[[abstract]]Proposes a new nonlinear parameter estimation method for a noncausal autoregressive (AR)...
In this paper, a new method for estimating the parameters of a digital communication channel, from o...
In this paper, a new method for estimating the parameters of a nonminimum phase, linear, time-invari...
In this paper, some new algorithms for estimating the biasing parameters of the ridge, Liu and two-p...
In this article, a procedure for characterizing the feasible parameter set of nonlinear models with ...
The first step of forecasting time series is to build an appropriate model. Determining orders and e...
The authors perform an analytic study of some cumulant-based methods for estimating the AR parameter...
<p>Each line represents a different set of parameters. The optimization algorithm has successfully c...
A new type of difference equations is suggested for generalized cumulant models of autoregression of...
Abstract — Parameter estimation can also be classified as an optimization where the objective is to ...
Abstract—An important family of blind equalization algorithms identify a communication channel model...
The design, implementation and use of GAPILib is discussed in this manuscript. GAPILib is a new Mode...
The article examines the possibility to estimate parameters of Fractional Arima Process using geneti...