In this paper, we address adaptive acoustic echo cancellation in the presence of an
unknown memoryless nonlinearity preceding the echo path. We approach the problem by …

This paper considers the identification of Wiener–Hammerstein systems using Least-
Squares Support Vector Machines based models. The power of fully black-box NARX-type …

Reconstruction of distorted signals (RODS), initially proposed in the frequency domain (FD),
has been proved to be with high efficiency in depressing the distortion caused by the …

This paper investigates parameter identification of nonlinear Wiener-Hammerstein systems
by using filter gain and novel cost function. Taking into account the system information is …

This paper considers the formulation of a digital pre-distorter to eliminate distortions that are
generated by a frequency-dependent imbalance between the analog in-phase (I) and …

Acoustic echo cancellation (AEC) is a well studied problem. The underlying assumption in
most echo cancellation solutions is that the echo path following the reference signal is …

In this paper the Wiener–Hammerstein Benchmark is identified as a bilinear discrete system.
The bilinear approximation relies on both facts that the Wiener–Hammerstein system can be …

To provide an adequate signal integrity to a power amplifier (PA), we propose a digital
system for the degradation at the transmitter path, and it is implemented on a field …

This paper shows that the coefficients of a generalized memory polynomial model of a
nonlinear device can be estimated by examining the output when the input is a series of two …

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