Results 1 to 10 of about 1,876,985 (311)

Active noise cancellation algorithms for impulsive noise. [PDF]

open access: yesMech Syst Signal Process, 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.
europepmc   +6 more sources

Design of a Test for Detecting the Presence of Impulsive Noise [PDF]

open access: yesSensors, 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]

open access: yesEntropy, 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]

open access: yesEntropy, 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

Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum. [PDF]

open access: yesEntropy (Basel), 2019
Rolling element bearings are widely used in various industrial machines. Fault diagnosis of rolling element bearings is a necessary tool to prevent any unexpected accidents and improve industrial efficiency.
Zhao X, Qin Y, He C, Jia L, Kou L.
europepmc   +2 more sources

Annoyance penalty of impulsive noise – The effect of impulse onset [PDF]

open access: yesBuilding and Environment, 2020
Abstract Impulsive sound can be perceived more annoying than a steady-state sound having the same A-weighted equivalent sound pressure level, LAeq. The difference in perceived noise annoyance can be compensated by adding a penalty or an adjustment k to LAeq (rating level).
Hongisto, Valtteri, Rajala, Ville
openaire   +3 more sources

Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise [PDF]

open access: yesIEEE 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

Enhanced BNC Approach for Noncircular Signals Direction Finding With Sparse Array in the Scenario of Impulsive Noise

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 2023
Sparse array is popular in the field of array signal processing. However, in the direction of arrival (DOA) estimation, most research on sparse array assumes Gaussian noise, resulting in a model mismatch in the practical scenarios of impulsive noise.
Xu-dong Dong   +4 more
semanticscholar   +1 more source

A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise

open access: yesIEEE Transactions on Vehicular Technology, 2021
Gaussian/non-Gaussian impulsive noises in underwater acoustic (UWA) channel seriously impact the quality of underwater acoustic communication. The common denoising algorithms are based on Gaussian noise model and are difficult to apply to the coexistence
Jingjing Wang   +6 more
semanticscholar   +1 more source

Impulse Noise Injury Model [PDF]

open access: yesMilitary Medicine, 2016
The new Auditory 4.0 model has been developed for the assessment of auditory outcomes, expressed as temporary threshold shift (TTS) and permanent threshold shift (PTS), from exposures to impulse noise for unprotected ears, including the prediction of TTS recovery.Auditory 4.0 is an empirical model, constructed from test data collected from chinchillas ...
Philemon, Chan, Kevin, Ho, Allen F, Ryan
openaire   +2 more sources

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