In this paper, an adaptive filtering algorithm, termed the extended kernel recursive maximum
correntropy (EX-KRMC) algorithm is proposed as a novel approach of traditional recursion …

Acoustic signals are widely used for communication in the underwater environment.
However, due to using narrow acoustic frequency bands, underwater transmission suffers …

This paper proposes a new adaptive filtering algorithm called the Huber Prior Error-
Feedback Least Squares Lattice (H-PEF-LSL) algorithm for robust adaptive filtering in an …

Room reverberation usually produces adverse influence on the quality of speech in human-
machine interaction scenarios. To improve the clarity and intelligibility of reverberant …

To improve the accuracy of sparse system identification with impulsive measurement
interference, a scaled least mean square (LMS) algorithm with block sparsity constraint is …

In this paper, a new method for robust local polynomial regression (LPR) using M-estimator
with adaptive bandwidth is proposed. This is motivated by the limitation of traditional LPR in …

Adaptive noise cancellation technology has been widely applied in all fields. The techniques
are ideally suited for reducing spatially varying noise. For some fields noise is generally …

In this paper, a widely-linear constrained complex-valued least mean M-estimate (WL-
CCLMM) algorithm is derived for processing impulsive noise and complex-valued signal in …

In this paper, the robust Bounding Ellipsoidal Adaptive Constrained least-squares
(BEACON) algorithm based on new set-membership error bounds is proposed to improve …

A robust recursive least-squares (RLS) adaptive filter against impulsive noise is proposed
for the situation of an unknown desired signal. By minimizing a saturable nonlinear …