It is valuable and meaningful to suppress impulsive noise in system identification. Existing
algorithms usually only consider impulsive noise with small frequency and amplitude …

A novel normalized frequency-domain block FxLMS (NFB-FxLMS) algorithm is proposed for
active vehicle interior noise control. Different from the time-domain FxLMS (TD-FxLMS) …

This brief proposes an enhanced fractional derivative that can prevent the tap weight
coefficients from destroying the gradient information, solve the problem caused by the …

Fractional learning algorithms are trending in signal processing and adaptive filtering
recently. However, it is unclear whether their proclaimed superiority over conventional …

In this work, a new class of stochastic gradient algorithm is developed based on q-calculus.
Unlike the existing q-LMS algorithm, the proposed approach fully utilizes the concept of q …

When the primary reference signal obtained by the existing Active noise control (ANC)
system is not accurate, the control effect of interior noise will be reduced or even fail …

Active sound quality control (ASQC) of vehicle interior noise is to reshape the sound
spectrum by considering human perception. But current ASQC method mainly controls the …

The purpose of this note is to discuss some aspects of recently proposed fractional-order
variants of complex least mean square (CLMS) and normalized least mean square (NLMS) …

In this comment, we raise serious concerns over the derivation of the rate of convergence of
fractional steepest descent algorithm in fractional adaptive learning approach presented in …

A novel robust adaptive technique is proposed to estimate the instantaneous power system
frequency using a momentum-learning-control-rate-based fractional-order least mean …