This paper proposes a new variable regularized QR decompPosition (QRD)-based
recursive least M-estimate (VR-QRRLM) adaptive filter and studies its convergence …

To identify acoustic systems (which are low-rank in nature) in non-Gaussian and Gaussian
noise, a robust recursive least M-estimate adaptive filtering algorithm is developed in this …

冲击噪声的存在导致采用基于最小均方误差准则自适应算法的主动噪声控制(ANC)
系统性能严重退化. 为了维持ANC 系统的稳定性, 诸多应对冲击噪声干扰的鲁棒自适应算法被 …

In this paper, the tracking behaviors of the least mean M-estimate (LMM) and normalized
LMM algorithms are analyzed in a unified manner in a non-stationary system described by …

This article presents the performance evaluation of the solar photovoltaic small hydro battery
based energy storage (BES) system having automatic mode switching capability. A BES …

Conditional parametric models with time-varying coefficient functions may be used in
forecasting tasks, by proposing a mean for adaptive mean regression of nonlinear and …

This paper studies the estimation of fast fading channel in the presence of impulse noise.
The fast fading channel in a wireless communications system is typically modeled as an …

Kernel adaptive filtering (KAF) algorithms derived from the second moment of error criterion
perform very well in nonlinear system identification under assumption of the Gaussian …

为了克服投影近似子空间跟踪算法(PAST) 在脉冲噪声环境下性能的退化, 本文以Alpha
稳定分布为脉冲噪声模型, 依据韧性的M 估计方法提出了一种新的代价函数 …

This paper studies the problem of robust adaptive filtering in impulse noise environment
using the Quasi-Newton (QN) adaptive filtering algorithm. An M-estimate based cost function …