Active noise cancellation algorithms for impulsive noise [PDF]
Mechanical Systems and Signal Processing, 2013 Impulsive noise is an important challenge for the practical implementation of active noise control (ANC) systems. The advantages and disadvantages of popular filtered-X least mean square (FXLMS) ANC algorithm and nonlinear filtered-X least mean M-estimate (FXLMM) algorithm are discussed in this paper.
Li P, Yu X.
exaly +5 more sources
Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise. [PDF]
Sensors (Basel), 2022 Direction of arrival (DOA) estimation is an essential and fundamental part of array signal processing, which has been widely used in radio monitoring, autonomous driving of vehicles, intelligent navigation, etc.
Ma J, Zhang J, Yang Z, Qiu T.
europepmc +2 more sources
Design of a Test for Detecting the Presence of Impulsive Noise [PDF]
Sensors, 2020 This paper proposes a new test method of detecting the presence of impulsive noise based on a complementary cumulative density function (CCDF). Impulsive noise severely degrades performance of communication systems and the conventional Kolmogorov–Smirnov
Hyungkook Oh, Dongho Seo, Haewoon Nam
doaj +2 more sources
Improved Adaptive Multipoint Optimal Minimum Entropy Deconvolution and Application on Bearing Fault Detection in Random Impulsive Noise Environments [PDF]
Entropy, 2023 Random impulsive noise is a special kind of noise, which has strong impact features and random disturbances with large amplitude, short duration, and long intervals.
Yu Wei, Yuanbo Xu, Yinlong Hou, Long Li
doaj +2 more sources
An Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments [PDF]
Entropy, 2023 Direction of arrival (DOA) estimation is an important research topic in array signal processing and widely applied in practical engineering. However, when signal sources are highly correlated or coherent, conventional subspace-based DOA estimation ...
Jiang’an Dai +4 more
doaj +2 more sources
Pol-CCES based modulation recognition method under impulsive noise [PDF]
Tongxin xuebao, 2021 To realize signal classification in impulsive noise environment， a modulation recognition scheme based on polished cyclic correntropy spectrum and shallow residual network was proposed.The proposed scheme not only has low computational complexity but ...
Jiang’an DAI +4 more
doaj +4 more sources
Impulsive Noise Suppression from Images with the Noise Exclusive Filter
EURASIP Journal on Advances in Signal Processing, 2004 A novel impulsive noise elimination filter, entitled noise exclusive filter (NEF), which shows a high performance at the restoration of images distorted by impulsive noise, is proposed in this paper.
Alçı Mustafa +2 more
doaj +3 more sources
IET Signal ProcessingThe burst-like and high-amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise.
Weiwei Shang, Yong Guo, Lidong Yang
doaj +2 more sources
Impulsive Noise Characterization in Narrowband Power Line Communication
Energies, 2018 Currently, narrowband Power line communication (PLC) is considered an attractive communication system in smart grid environments for applications such as advanced metering infrastructure (AMI).
Li Bai +4 more
doaj +3 more sources
Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise [PDF]
IEEE Signal Processing Letters, 2022 This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise.
Yi Yu +4 more
semanticscholar +1 more source