We describe the use of the discrete wavelet transform (DWT) for system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for the DWT of the SUT’s output, so as to recover the impulse response. The method uses as excitation any signal that gives an orthogonal inner product in the DWT at some step size (that cannot be 1).We favor wavelet scaling coefficients as excitations, with a step size of 2. However, the system impulse or frequency response can then only be estimated at half the available number of points of the sampled output sequence, introducing a multirate problem that means we have to ‘over sample ’ the SUT output. The method has several adva...
This paper discusses the extraction of the wavelet-based impulse response function from the accelera...
The time-frequency character of wavelet transforms allows increased flexibility – as both traditiona...
Automatic identification of the digital modulation type of a signal has found applications in many a...
In recent years various methods have been developed to identify structural system parameters. One ap...
International audienceWavelets-based representations offer an important option for capturing localiz...
This study investigates the wavelet-based system identification capabilities on determining the syst...
A systematic framework is developed to address the parametric linear time-varying system identificat...
111 p.Identification of an ideal system with no distortions in the output is necessary for real time...
Wavelet analysis is a powerful method for analyzing the time histories of signals. A discrete wavele...
In this paper, we propose a new adaptive filtering algorithm for system identification. The algorith...
The present work proposes a methodology for modeling and identification of boundedinput bounded-outp...
A novel procedure is developed for the identification of linear discrete models of dynamical systems...
This paper investigates the effectiveness of employing measured hardware features mapped into the fr...
An identification algorithm of the linear time-varying (LTV) dynamical system is developed in this p...
In this paper we estimate the parameters of a multidimensional system from a record of noisy output ...
This paper discusses the extraction of the wavelet-based impulse response function from the accelera...
The time-frequency character of wavelet transforms allows increased flexibility – as both traditiona...
Automatic identification of the digital modulation type of a signal has found applications in many a...
In recent years various methods have been developed to identify structural system parameters. One ap...
International audienceWavelets-based representations offer an important option for capturing localiz...
This study investigates the wavelet-based system identification capabilities on determining the syst...
A systematic framework is developed to address the parametric linear time-varying system identificat...
111 p.Identification of an ideal system with no distortions in the output is necessary for real time...
Wavelet analysis is a powerful method for analyzing the time histories of signals. A discrete wavele...
In this paper, we propose a new adaptive filtering algorithm for system identification. The algorith...
The present work proposes a methodology for modeling and identification of boundedinput bounded-outp...
A novel procedure is developed for the identification of linear discrete models of dynamical systems...
This paper investigates the effectiveness of employing measured hardware features mapped into the fr...
An identification algorithm of the linear time-varying (LTV) dynamical system is developed in this p...
In this paper we estimate the parameters of a multidimensional system from a record of noisy output ...
This paper discusses the extraction of the wavelet-based impulse response function from the accelera...
The time-frequency character of wavelet transforms allows increased flexibility – as both traditiona...
Automatic identification of the digital modulation type of a signal has found applications in many a...