New batch and adaptive methods are proposed to optimize the Volterra kernels expansions on a set of Laguerre functions. Each kernel is expanded on an independent Laguerre basis. The expansion coefficients, also called Fourier coefficients, are estimated in the MMSE sense or by applying the gradient technique. An analytical solution to Laguerre poles optimization is provided using the knowledge of the Fourier coefficients associated with an arbitrary Laguerre basis. The proposed methods allow optimization of both the Fourier coefficients and the Laguerre poles.</p
Volterra series are perhaps the best understood nonlinear system representations in signal processin...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...
Abstract- Identification of nonlinear dynamic systems using the Volterra-Wiener approach requires th...
International audienceNew batch and adaptive methods are proposed to optimize the Volterra kernels e...
This work tackles the problem of expanding Volterra models using Laguerre functions. A strict global...
International audienceThis work is concerned with the optimization of Laguerre bases for the orthono...
This work is concerned with the optimization of Laguerre bases for the orthonormal series expansion ...
This paper is concerned with the selection of optimal Laguerre bases for the orthonormal series expa...
A novel technique for selecting the poles of orthonormal basis functions (OBF) in Volterra models of...
A novel technique for selecting the poles of orthonormal basis functions (OBF) in Volterra models of...
An improved approach to determine exact search directions for the optimization of Volterra models ba...
The optimality condition for the free parameter in a truncated Laguerre network in both continuous-t...
"©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
Abstract: When a transfer function is expanded on the basis of Laguerre filters, the question of how...
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers usi...
Volterra series are perhaps the best understood nonlinear system representations in signal processin...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...
Abstract- Identification of nonlinear dynamic systems using the Volterra-Wiener approach requires th...
International audienceNew batch and adaptive methods are proposed to optimize the Volterra kernels e...
This work tackles the problem of expanding Volterra models using Laguerre functions. A strict global...
International audienceThis work is concerned with the optimization of Laguerre bases for the orthono...
This work is concerned with the optimization of Laguerre bases for the orthonormal series expansion ...
This paper is concerned with the selection of optimal Laguerre bases for the orthonormal series expa...
A novel technique for selecting the poles of orthonormal basis functions (OBF) in Volterra models of...
A novel technique for selecting the poles of orthonormal basis functions (OBF) in Volterra models of...
An improved approach to determine exact search directions for the optimization of Volterra models ba...
The optimality condition for the free parameter in a truncated Laguerre network in both continuous-t...
"©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
Abstract: When a transfer function is expanded on the basis of Laguerre filters, the question of how...
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers usi...
Volterra series are perhaps the best understood nonlinear system representations in signal processin...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...
Abstract- Identification of nonlinear dynamic systems using the Volterra-Wiener approach requires th...