The previous work for the filter design considers uncorrelated white measurement noise
disturbance. For more complex correlated noise disturbance, the conventional adaptive filter …

In this paper, a new framework of cost function for designing robust adaptive filtering
algorithms is developed. This new cost framework, called sigmoid cost function, results from …

The steady-state excess mean square error (EMSE) of the adaptive filtering under the
maximum correntropy criterion (MCC) has been studied. For Gaussian noise case, we …

We propose a constrained least lncosh (CLL) adaptive filtering algorithm, which, as we
show, provides better performance than other algorithms in impulsive noise environment …

Abstract The design of (1+ α) order, 0< α< 1, low pass Butterworth filter approximated in
terms of an integer order continuous-time transfer function using a nature-inspired …

This paper addresses the combined estimation issues of the parameters and states for
fractional‐order Hammerstein state space systems with colored noises. An extended state …

We introduce a novel family of adaptive filtering algorithms based on a relative logarithmic
cost inspired by the “competitive methods” from the online learning literature. The …

In some adaptive filtering applications, the least-mean-square (LBIS) algorithm may be too
computationally-and memory-intensive to implement. In this paper, we analyze two adaptive …

The hyperbolic cosine function with high-order errors can be utilized to improve the accuracy
of adaptive filters. However, when initial weight errors are large, the hyperbolic cosine …

This article focuses on the parameter estimation issues for a fractional‐order nonlinear
system with autoregressive noise. In the process, the challenge and difficulty are to identify …