The popular least-mean-squares (LMS) algorithm for adaptive filtering is non-robust against impulsive noise in the measurements. The presence of this type ...
Feb 26, 2016 · In this paper, a robust adaptive filtering algorithm is developed that effectively learns and tracks the output error distribution to improve ...
In this paper, a robust adaptive filtering algorithm is developed that effectively learns and tracks the output error distribution to improve estimation ...
Apr 11, 2016 · This paper develops a modified SSRLS (FxSSRLS) algorithm for ANC of impulsive sources being modeled as symmetric α-stable (SαS) distributions.
Subsequently, an improved SAF algorithm has been proposed, minimizing Huber's cost function [16], which has good robustness to impulsive noises.
May 14, 2019 · This paper proposes a prefiltered observation-based adaptive filter algorithm that is robust against impulsive noise.
Missing: Adaptation | Show results with:Adaptation
Dec 1, 2019 · A linearly constrained correntropy-based adaptive algorithm to solve the beamforming problem in impulsive noises is proposed in this study. The ...
The adaptive algorithms for ANC systems work well to attenuate the Gaussian noise; however, their performance may degrade for non-Gaussian impulsive noise ...
Jun 5, 2024 · The RMAG-FxLeLMS algorithm is proposed to achieve the active impulsive control. To improve the accuracy of the error, the secondary error calculation and the ...
This paper proposes a robust normalized subband adaptive filter (RNSAF) algorithm, which has robust performance for impulsive noise environments and noisy ...
Missing: Adaptation | Show results with:Adaptation