The Best Linear Approximation (BLA) is a linearisation of the transfer characteristics of a nonlinear system in a least squares sense. The BLA is known to depend on the statistical properties of the input signal used to identify it. The theory for Gaussian input sequences has been known for several years, but the corresponding theory for binary input sequences has only recently been developed. In this paper, experiments on a physical electronic Wiener system, aimed at verification of predictions made for the differences between BLA's estimated using Gaussian sequences and those estimated using binary sequences, are described. The results were found to be a good match with the theory but difficulties encountered during the experiment highlig...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
© 2016 IEEE. Wiener systems represent a linear time invariant (LTI) system followed by a static nonl...
The Best Linear Approximation (BLA) is a linearisation of the transfer characteristics of a nonline...
The best linear approximation (BLA) of a nonlinear system minimizes the difference between the actua...
For a nonlinear system with an input signal having a Gaussian probability distribution (this include...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
© 2016 IEEE. Wiener systems represent a linear time invariant (LTI) system followed by a static nonl...
The Best Linear Approximation (BLA) is a linearisation of the transfer characteristics of a nonline...
The best linear approximation (BLA) of a nonlinear system minimizes the difference between the actua...
For a nonlinear system with an input signal having a Gaussian probability distribution (this include...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
Pseudo-random signals have been widely used for system identification. Maximum length binary signals...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
This paper investigates the differences between the symbol-spaced Wiener channel model (SSWCM), used...
© 2016 IEEE. Wiener systems represent a linear time invariant (LTI) system followed by a static nonl...