Multi-resolution analysis of non-uniform data with jump discontinuities and impulsive noise using robust local polynomial regression
The paper proposes a new method for performing multi-resolution analysis (MRA) of non-
uniform data with jump discontinuities and impulsive noise using robust M-estimator-based …
uniform data with jump discontinuities and impulsive noise using robust M-estimator-based …
[PDF][PDF] A robust variable step-size NLMS algorithm through a combination of robust cost functions
This letter introduces a new gradient-based adaptive filtering algorithm based on a cost
function that is constructed by combining two robust cost functions, which are a new tanh …
function that is constructed by combining two robust cost functions, which are a new tanh …
Robust Diffusion Average Strategy Over Distributed Networks with Impulsive Link Noise
In this paper, a robust diffusion average-estimate normalized least mean square (NLMS)
algorithm is proposed to tackle the impulsive noise in adjacent node communication links …
algorithm is proposed to tackle the impulsive noise in adjacent node communication links …
[PDF][PDF] 稳健的仿射投影符号自适应滤波算法
郭莹， 白艳梅 - 仪器仪表学报, 2017 - emt.cnjournals.com
非高斯的冲击噪声在现实世界广泛存在, 严重影响了基于l2 范数优化准则的自适应滤波算法的
性能. 在各类自适应滤波算法中仿射投影符号算法(APSA) 结合了仿射投影算法(APA) …
性能. 在各类自适应滤波算法中仿射投影符号算法(APSA) 结合了仿射投影算法(APA) …
Robust regularized recursive least M-estimate algorithm for sparse system identification
G Wang, H Zhao - IFAC-PapersOnLine, 2019 - Elsevier
The l 0-norm regularized recursive least square (l 0-RLS) algorithm has excellent
performance in sparse system identification scenarios. However, its convergence …
performance in sparse system identification scenarios. However, its convergence …
Robust adaptive channel estimation of OFDM systems in time-varying narrowband interference
The paper presents an adaptive channel estimation algorithm for orthogonal frequency
division multiplexing (OFDM) systems in the presence of narrowband interference (NBI). The …
division multiplexing (OFDM) systems in the presence of narrowband interference (NBI). The …
Robust Recursive Identification of ARX Models Using Beta Divergence
S Fukunaga - IEICE Transactions on Fundamentals of Electronics …, 2023 - search.ieice.org
The robust recursive identification method of ARX models is proposed using the beta
divergence. The proposed parameter update law suppresses the effect of outliers using a …
divergence. The proposed parameter update law suppresses the effect of outliers using a …
Iterative memoryless non-linear estimators of correlation for complex-valued Gaussian processes that exhibit robustness to impulsive noise
PM Tamburello - 2016 - vtechworks.lib.vt.edu
The autocorrelation function is a commonly used tool in statistical time series analysis.
Under the assumption of Gaussianity, the sample autocorrelation function is the standard …
Under the assumption of Gaussianity, the sample autocorrelation function is the standard …
A robust least mean M-estimate adaptive filtering algorithm based on geometric algebra for system identification
S Lv, H Zhao - Twelfth International Conference on Signal …, 2021 - spiedigitallibrary.org
In this paper, a novel robust algorithm called geometric algebra least mean M-estimate (GA-
LMM) is proposed, which is the extension of the conventional LMM algorithm in GA space …
LMM) is proposed, which is the extension of the conventional LMM algorithm in GA space …