Results 1 to 10 of about 12,207 (274)

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

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   +4 more sources

An OFDM Receiver with Frequency Domain Diversity Combined Impulsive Noise Canceller for Underwater Network [PDF]

open access: yesThe Scientific World Journal, 2015
In order to explore marine natural resources using remote robotic sensor or to enable rapid information exchange between ROV (remotely operated vehicles), AUV (autonomous underwater vehicle), divers, and ships, ultrasonic underwater communication systems
Rie Saotome   +4 more
doaj   +2 more sources

Repeated exposure reduces the response to impulsive noise in European seabass. [PDF]

open access: hybridGlob Chang Biol, 2016
Radford AN   +5 more
europepmc   +3 more sources

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

Parameter estimation of impulsive noise for channel coded communication systems

open access: yesIET Communications, 2021
In this paper, an impulsive noise estimation algorithm for generating bit log‐likelihood ratios (LLRs) for channel coded systems in impulsive noise environments is proposed. This approach is to design the LLR detector in the maximum‐likelihood (ML) sense,
Chun‐Yin Chen, Mao‐Ching Chiu
doaj   +1 more source

Optimization of capacity in non-Gaussian noise models with and without fading channels for sustainable communication systems

open access: yesHeritage and Sustainable Development, 2023
The highest rate at which information may be reliably sent via a communication link is known as its capacity. In the case of non-Gaussian noise, the capacity of the channel depends on the specific characteristics of the noise, which can cause severe ...
Ghanim A. Al-Rubaye   +2 more
doaj   +1 more source

Joint Detection and Reconstruction of Weak Spectral Lines under Non-Gaussian Impulsive Noise with Deep Learning

open access: yesRemote Sensing, 2023
Non-Gaussian impulsive noise in marine environments strongly influences the detection of weak spectral lines. However, existing detection algorithms based on the Gaussian noise model are futile under non-Gaussian impulsive noise.
Zhen Li, Junyuan Guo, Xiaohan Wang
doaj   +1 more source

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