Abstract – The Volterra model for nonlinear systems has develloped an identity of its one. We concentrate in this paper of some aspects regarding the characterization of the Volterra system in the frequency domain. Both types of filters are considered: analogues and discretized filters. The applications of the second order kernel transform are widely investigated in bouth cases. Finnaly we derive and analyze the input-output power transfer relationship. Two situations are considered: in the first one the input signal has Gaussian statistics, in the second one there is a little knowledge about the input statistics or the input is non-Gaussian. It is also noted that the ordinary coherence functions cannot be used in explaining the input-outpu...
AbstractThe output frequency response function (OFRF) of Volterra systems can be described as a poly...
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They ...
The frequency domain plays a key role in the description of signals and systems. In the classical ap...
This paper deals with the frequency domain analysis of nonlinear systems based on some recently deve...
Analysis of nonlinear systems has been studied extensively. Based on some recently developed results...
Without assuming particular statistics of the input, a practical digital method of estimating linear...
Explicit expressions are presented that describe the input-output behaviour of a nonlinear system in...
Results on modeling quadratic systems described by Volterra series up to order two are presented. Sp...
The frequency domain methods tor linear systems are well accepted by engineers and have been widely ...
A method for measuring first/second Volterra kernels in the frequency domain is given. For the case ...
The frequency domain methods tor linear systems are well accepted by engineers and have been widely ...
The Volterra approach to the modeling of nonlinear systems has been employed for a long time thanks ...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
This book is a systematic summary of some new advances in the area of nonlinear analysis and design ...
Abstract: Volterra series (VS) are widely used in non-linear dynamical system identification. Much p...
AbstractThe output frequency response function (OFRF) of Volterra systems can be described as a poly...
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They ...
The frequency domain plays a key role in the description of signals and systems. In the classical ap...
This paper deals with the frequency domain analysis of nonlinear systems based on some recently deve...
Analysis of nonlinear systems has been studied extensively. Based on some recently developed results...
Without assuming particular statistics of the input, a practical digital method of estimating linear...
Explicit expressions are presented that describe the input-output behaviour of a nonlinear system in...
Results on modeling quadratic systems described by Volterra series up to order two are presented. Sp...
The frequency domain methods tor linear systems are well accepted by engineers and have been widely ...
A method for measuring first/second Volterra kernels in the frequency domain is given. For the case ...
The frequency domain methods tor linear systems are well accepted by engineers and have been widely ...
The Volterra approach to the modeling of nonlinear systems has been employed for a long time thanks ...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
This book is a systematic summary of some new advances in the area of nonlinear analysis and design ...
Abstract: Volterra series (VS) are widely used in non-linear dynamical system identification. Much p...
AbstractThe output frequency response function (OFRF) of Volterra systems can be described as a poly...
Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They ...
The frequency domain plays a key role in the description of signals and systems. In the classical ap...