The widely-linear affine projection algorithm (WL-APA) based on the orthogonal affine
projection principle and the WL model utilizes the past multiple input signal vectors for …

In this brief, a proportionate robust diffusion recursive least exponential hyperbolic cosine
algorithm is proposed for distributed estimation. To be robust against impulsive noise, an …

This brief proposes a recursive constrained sine second-order error promoting adaptive
(RCSSOEPA) algorithm. Compared with classical recursive method, the RCSSOEPA …

Robust adaptive filters utilizing hyperbolic cosine and correntropy functions have been
successfully employed in non-Gaussian noisy environments. However, these filters suffer …

In this brief, a secure distributed estimation algorithm is devised, based on a generalized
correntropy kernel function, which is robust against malicious attacks with false data …

Thanks to the ability of preventing the accumulation of errors, constrained adaptive filtering
(CAF) algorithms have been widely applied. However, in practice, non-Gaussian noise may …

Time-series prediction is a popular application that relies on the collection of historical data
via sensors, which is then leveraged by predictive models to forecast future values or trends …

The maximum Versoria criterion algorithm (MVC) exhibits lower steady-state misalignment
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …

Recently, online learning algorithms in machine learning have been imposed much
attention. As a typical family, kernel adaptive filtering algorithms receive particular interest …

This paper investigates the M-estimate affine projection spline adaptive filtering (MAPSAF)
algorithm, which utilizes a modified Huber function with robustness against impulsive …