An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

This article proposes a novel adaptive control scheme based on proportional-integral (PI)
controllers and new adaptive filtering algorithm called the least mean square root of …

In the past years, the generalized maximum correntropy criterion (GMCC) has been widely
used in adaptive filters to provide robust behavior under non-Gaussian/impulsive noise …

This brief introduces a novel cost function framework for developing robust algorithms for
adaptive filtering by embedding the standard cost function into the arctangent framework …

Abstract The Least lncosh (Llncosh) algorithm is a promising adaptive algorithm due to its
robustness in impulsive interference and has a faster convergence rate than the classical …

Excavator interior noise is composed of the engine order narrowband noise and the
impulsive broadband noise caused by working device. In situations where only narrowband …

Many works of literature support the potential of distributed channel estimation resorting to
the traditional LMS algorithm and its variants. But these conventional LMS algorithms fail in …

In a wireless sensor network (WSN), the performance of the error-squared based adaptive
channel estimation algorithm degrades in the presence of impulsive noise. Robust methods …

Mitigating low-frequency noise in various industrial applications often involves the use of the
filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error …

The performance of conventional active noise control (ANC) systems degrades under non-
Gaussian conditions. In the recent past, generalized filtered-x maximum correntropy criterion …