The parameters of an ARMA system and of additive ARMA output disturbance with mutually different poles were estimated from a record of the disturbed output on a single pulse input. Alternating the steps of iterative inverse filtering with iterations according to generalized least squares appeared very economical for this system. This procedure converged for second-order simulations. Statistics of the estimates were evaluated from these simulation results for two signal-to-noise ratios
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
This paper discusses the parameter estimation problems of multi-input output-error autoregressive (O...
The linear algorithm for two-dimensional least square approximation in the frequency domain (2D-FD-L...
By applying some iterative algorithm a nonlinear minimization problem is solved in order to obtain e...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
AbstractThis paper presents a two-stage least squares based iterative algorithm, a residual based in...
A new on-line parameter estimation technique is proposed for real-time system modelling problems whe...
This study is based on the observation that if the bootstrapping is combined with different paramete...
A recursive algorithm for ARMA (autoregressive moving average) filtering has been developed in a com...
Usually the coefficients in a stochastic time series model are partially or entirely unknown when th...
This paper presents a new type of improved least-squares (ILS) algorithm for adaptive parameter esti...
Koreisha and Pukkila (1990a) have recently proposed a computationally convenient three-step GLS-type...
In this paper, we propose a new approach to signal smoothing when the data are generated (or represe...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
This paper studies least-squares parameter estimation algorithms for input nonlinear systems, includ...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
This paper discusses the parameter estimation problems of multi-input output-error autoregressive (O...
The linear algorithm for two-dimensional least square approximation in the frequency domain (2D-FD-L...
By applying some iterative algorithm a nonlinear minimization problem is solved in order to obtain e...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
AbstractThis paper presents a two-stage least squares based iterative algorithm, a residual based in...
A new on-line parameter estimation technique is proposed for real-time system modelling problems whe...
This study is based on the observation that if the bootstrapping is combined with different paramete...
A recursive algorithm for ARMA (autoregressive moving average) filtering has been developed in a com...
Usually the coefficients in a stochastic time series model are partially or entirely unknown when th...
This paper presents a new type of improved least-squares (ILS) algorithm for adaptive parameter esti...
Koreisha and Pukkila (1990a) have recently proposed a computationally convenient three-step GLS-type...
In this paper, we propose a new approach to signal smoothing when the data are generated (or represe...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
This paper studies least-squares parameter estimation algorithms for input nonlinear systems, includ...
A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals...
This paper discusses the parameter estimation problems of multi-input output-error autoregressive (O...
The linear algorithm for two-dimensional least square approximation in the frequency domain (2D-FD-L...