In this paper, a normalized least mean square (NLMS) adaptive filtering algorithm based on
the arctangent cost function that improves the robustness against impulsive interference is …

In this paper, different machine learning methodologies have been evaluated for the
estimation of the multiple soil characteristics of a continental-wide area corresponding to the …

This letter proposes a variable step-size (VSS) affine projection algorithm (APA) associated
with a step-size scaler to improve the APA's robustness against impulsive measurement …

This brief proposes a new approach for deriving a robust saturation algorithm against
impulsive noises. The proposed approach presents the saturation algorithm by using the …

This paper proposes an L 1/L 2-mode switching adaptive filter algorithm by comparing the
performances in L 1 and L 2 modes. In the L 1 or L 2 mode, the proposed algorithm adopts …

Conventional non-negative algorithms restrict the weight coefficient vector under non-
negativity constraints to satisfy several inherent characteristics of a specific system …

The conventional algorithm used in active noise control (ANC) performs poorly under non-
Gaussian (impulse) noise. This is because the stability of a conventional adaptive controller …

In the past, an efficient arctangent framework-based logarithmic hyperbolic cosine adaptive
filter (ALHCAF) for system identification was proposed for effective performance under the …

In this paper, online linear regression in the presence of non-Gaussian noise is addressed.
In such environments, there are outliers in error samples (error between system output and …