This paper proposes a novel spline adaptive filtering (SAF) algorithm for nonlinear system
identification under impulsive noise environments. This algorithm combines the logarithmic …

Correntropy has recently attracted great attention because of its robustness to non-Gaussian
noise. Inspired by this robustness property, a spline adaptive filtering algorithm based on the …

In order to mitigate the interference of impulsive noises in the identification of Wiener-type
nonlinear systems using traditional spline adaptive filter (SAF) algorithm, an enhanced SAF …

In this paper, we investigate the identification problem of the Hammerstein nonlinear
systems. In order to approximate the nonlinear block and for the convenience of analyzing …

This paper focuses on the parameter estimation problem of Hammerstein nonlinear systems
with colored noise. By virtue of the covariance matrix adaptation strategy and the auxiliary …

Spline adaptive filter (SAF) is a kind of simple and effective nonlinear system online
identification method. When the length of FIR filter, which represents the linear sub-model, is …

The use of fractional calculus based novel adaptive algorithms to solve various applied
physics and engineering problems is an emerging area of research. In the present study, the …

In this paper, a new spline adaptive filter (SAF) used for identifying the nonlinear systems is
presented, in which a real-time over-sampling (RTOS) strategy is proposed in order to solve …

Excellent capabilities for low-frequency devices are exhibited by magnetostrictive materials
such as terfenol. However, their utilization in high-frequency ultrasonic transducers requires …

In order to improve the convergence speed of the nonlinear spline adaptive filter (SAF) in the
identification of block-oriented systems, an interval variable step-size algorithm is proposed …