This paper describes a nonlinear acoustic echo cancellation algorithm, mainly focused on
loudspeaker distortions. The proposed system is composed of two distinct modules …

This paper discusses the Hammerstein model identification using a blind approach. By fast
sampling at the output, it is shown that identification of the linear part can be achieved based …

Should we trust the prior knowledge of the system before processing observations? It is one
of fundamental questions in system identification. Correct parametric assumptions imposed …

This paper addresses the problem of Wiener–Hammerstein (LNL) system identification. We
present two estimates, which recover the static nonlinear characteristic and the linear …

Hammerstein model with a static nonlinearity followed by a linear filter is commonly used in
numerous applications. This paper focuses on adaptive filtering techniques for parameter …

The paper considers the problem of nonparametric estimation of nonlinear characteristic in
the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of …

This paper investigates the statistical behavior of a sequential adaptive gradient search
algorithm for identifying an unknown Wiener-Hammerstein (1958) system (WHS) with …

A new method to identify the linear subsystems of a Wiener-Hammerstein model through the
measurement of the second-order Volterra kernel is proposed. This technique makes use of …

A block-oriented nonlinear system is composed of a concatenation of blocks representing
either memoryless nonlinearities or linear dynamic subsystems. Wiener, Hammerstein, and …

This work presents an iterative receiver cancellation technique for mitigating the inband
distortion introduced by a nonlinear wideband transmitter power amplifier (PA). The …