International audienceNew 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 NMSE 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
Abstract: When a transfer function is expanded on the basis of Laguerre filters, the question of how...
In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed ...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...
New batch and adaptive methods are proposed to optimize the Volterra kernels expansions on a set of...
International audienceThis work tackles the problem of expanding Volterra models using Laguerre func...
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...
"©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
An improved approach to determine exact search directions for the optimization of Volterra models ba...
Volterra series are perhaps the best understood nonlinear system representations in signal processin...
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers usi...
The optimality condition for the free parameter in a truncated Laguerre network in both continuous-t...
Abstract: When a transfer function is expanded on the basis of Laguerre filters, the question of how...
In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed ...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...
New batch and adaptive methods are proposed to optimize the Volterra kernels expansions on a set of...
International audienceThis work tackles the problem of expanding Volterra models using Laguerre func...
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...
"©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
An improved approach to determine exact search directions for the optimization of Volterra models ba...
Volterra series are perhaps the best understood nonlinear system representations in signal processin...
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers usi...
The optimality condition for the free parameter in a truncated Laguerre network in both continuous-t...
Abstract: When a transfer function is expanded on the basis of Laguerre filters, the question of how...
In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed ...
The problem of determining the optimum nonlinear filter in the mean-square sense is treated here by ...