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Artículos de revistas sobre el tema "Impulsive noise due to plasma"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

Última modificación: 31 de julio de 2025

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1

Oh, Hyungkook, Dongho Seo, and Haewoon Nam. "Design of a Test for Detecting the Presence of Impulsive Noise." Sensors 20, no. 24 (2020): 7135. http://dx.doi.org/10.3390/s20247135.

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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 (K–S) test may not perform well, because the test does not consider the characteristics of impulsive noise. In order to detect the presence of impulsive noise reliably, the CCDF of measurement samples is analyzed and compared with the CCDF of additive white Gaussian noise to find the difference between those CCDFs. Due to the nature of heavy-t

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2

Lee, Sang Kwon, and Jung Soo Lee. "Design of Adaptive Filter for Health Monitoring on a Gearbox." Key Engineering Materials 321-323 (October 2006): 1237–40. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.1237.

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Impulsive vibration signals in gearbox are often associated with faults, which lead to due to irregular impacting. Thus these impulsive vibration signals can be used as indicators of machinery faults. However it is often difficult to make objective measurement of impulsive signals because of background noise signals. In order to ease the measurement of impulsive signal embedded in background noise, we enhance the impulsive signals using adaptive signal processing and then analyze them in time and frequency domain by using time-frequency representation. This technique is applied to the diagnosi

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3

Dai, Jiang’an, Tianshuang Qiu, Shengyang Luan, Quan Tian, and Jiacheng Zhang. "An Improved Toeplitz Approximation Method for Coherent DOA Estimation in Impulsive Noise Environments." Entropy 25, no. 6 (2023): 960. http://dx.doi.org/10.3390/e25060960.

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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 algorithms will perform poorly due to the rank deficiency in the received data covariance matrix. Moreover, conventional DOA estimation algorithms are usually developed under Gaussian-distributed background noise, which will deteriorate significantly in impulsive noise environments. In this paper, a novel method is presented to estimate the DOA of co

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4

Karakuş, Oktay, Ercan E. Kuruoğlu, and Mustafa A. Altınkaya. "Modelling impulsive noise in indoor powerline communication systems." Signal, Image and Video Processing 14, no. 8 (2020): 1655–61. http://dx.doi.org/10.1007/s11760-020-01708-1.

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Abstract Powerline communication (PLC) is an emerging technology that has an important role in smart grid systems. Due to making use of existing transmission lines for communication purposes, PLC systems are subject to various noise effects. Among those, the most challenging one is the impulsive noise compared to the background and narrowband noise. In this paper, we present a comparative study on modelling the impulsive noise amplitude in indoor PLC systems by utilising several impulsive distributions. In particular, as candidate distributions, we use the symmetric $$\alpha $$ α -Stable (S$$\

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5

Wang, Houyou, Yong Guo, and Lidong Yang. "Parameter Estimation of LFM Signals Based on FOTD-CFRFT under Impulsive Noise." Fractal and Fractional 7, no. 11 (2023): 822. http://dx.doi.org/10.3390/fractalfract7110822.

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Due to the short duration and high amplitude characteristics of impulsive noise, these parameter estimation methods based on Gaussian assumptions are ineffective in the presence of impulsive noise. To address this issue, a LFM signal parameter estimation method is proposed based on FOTD and CFRFT. Firstly, the mathematical expression of FOTD is presented and its tracking performance is verified. Secondly, the tracked signal is subjected to discrete time CFRFT, and a mathematical optimization model for LFM signal parameter estimation is established on the fractional spectrum characteristic. Fin

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6

Shafieipour, Mohammad, Heng-Siong Lim, and Teong-Chee Chuah. "Decoding of Turbo Codes in Symmetric Alpha-Stable Noise." ISRN Signal Processing 2011 (March 29, 2011): 1–7. http://dx.doi.org/10.5402/2011/683972.

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This paper investigates the decoding of turbo codes in impulsive symmetric α-stable (SαS) noise. Due to the nonexistence of a closed-form expression for the probability density function (pdf) of α-stable processes, numerical-based SαS pdf is used to derive branch transition probability (btp) for the maximum a posteriori turbo decoder. Results show that in Gaussian noise, the turbo decoder achieves similar performance using both the conventional and the proposed btps, but in impulsive channels, the turbo decoder with the proposed btp substantially outperforms the turbo decoder utilizing the con

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7

Tian, Tian, Kunde Yang, Fei-Yun Wu, and Ying Zhang. "Channel Estimation for Underwater Acoustic Communications in Impulsive Noise Environments: A Sparse, Robust, and Efficient Alternating Direction Method of Multipliers-Based Approach." Remote Sensing 16, no. 8 (2024): 1380. http://dx.doi.org/10.3390/rs16081380.

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Channel estimation in Underwater Acoustic Communication (UAC) faces significant challenges due to the non-Gaussian, impulsive noise in ocean environments and the inherent high dimensionality of the estimation task. This paper introduces a robust channel estimation algorithm by solving an l1−l1 optimization problem via the Alternating Direction Method of Multipliers (ADMM), effectively exploiting channel sparsity and addressing impulsive noise outliers. A non-monotone backtracking line search strategy is also developed to improve the convergence behavior. The proposed algorithm is low in comple

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8

Enguix, Ivan Felis, Marta Sánchez Egea, Antonio Guerrero González, and David Arenas. "Acoustic Characterization of Impulsive Underwater Noise Present in Port Facilities: Practical Case in the Port of Cartagena." Proceedings 4, no. 1 (2018): 57. http://dx.doi.org/10.3390/ecsa-5-05755.

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The data recording of underwater noise is a key aspect for the prevention and improvement of management systems of maritime spaces. Thus, due to the presence of activities potentially generating impulsive noise, ports deserve special attention. This article describes and shows the results of the spatial monitoring of both the basal noise and impulsive noise sources present in port facilities. A vessel was equipped with a smart digital hydrophone with a working frequency range between 10 and 200 kHz and an RVR (Received Voltage Response) of, approximately, −170 dB @ 1 V/µPa. Coupling the acoust

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9

Lee, Sang Kwon, Jinhoi Gu, and Byung-Og Cho. "Damage Identification of an Automotive Engine Based on Detection of Impact Vibration Using an Adaptive Filter." Key Engineering Materials 306-308 (March 2006): 229–34. http://dx.doi.org/10.4028/www.scientific.net/kem.306-308.229.

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In an automotive engine, faults induce impulsive vibrations and thereby degrade engine performance, making it important for an automotive engineer to detect and analyze impulsive vibration signals for fault diagnosis. However, detecting and identifying impulsive signals is often difficult because of interfering signals such as those due to engine firing, harmonics of crankshaft speed and broadband noise components. These interferences hinder early fault detection. To overcome this difficulty we present a two-stage ALEF (Adaptive Line Enhancer Filter) that is capable of enhancing impulsive sign

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10

Dou, Yuzi, and Sen Li. "Kernel Function-Based Ambiguity Function and Its Application on DOA Estimation in Impulsive Noise." Sensors 22, no. 18 (2022): 6996. http://dx.doi.org/10.3390/s22186996.

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To solve the problem that the traditional ambiguity function cannot well reflect the time-frequency distribution characteristics of linear frequency modulated (LFM) signals due to the presence of impulsive noise, two robust ambiguity functions: correntropy-based ambiguity function (CRAF) and fractional lower order correntropy-based ambiguity function (FLOCRAF) are defined based on the feature that correntropy kernel function can effectively suppress impulsive noise. Then these two robust ambiguity functions are used to estimate the direction of arrival (DOA) of narrowband LFM signal under an i

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11

Luo, Ting, Menglei Sun, Hao Liu, Yongliang Wang, Jiongyang Shao, and Xingyao Yang. "A novel feedforward narrow-broadband hybrid active noise control system for excavator interior noise control." Noise Control Engineering Journal 72, no. 4 (2024): 347–67. http://dx.doi.org/10.3397/1/377225.

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Excavator interior noise is a mixture of engine noise and impulsive noise produced by working device. Hybrid narrow-broadband active noise control (HANC) systems can efficiently eliminate the traditional mixed broad-narrowband noise. However, these HANC systems have drawbacks such as high computational complexity, unable to cope with impulsive noise and inability to obtain the best performance due to parameter selection method. To solve these problems, a novel feedforward narrow broadband HANC system consisting of four subsystems, namely, sinusoidal noise canceller (SNC) subsystem, robust broa

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12

Liu, Haoqiang, Hongbo Zhao, Xiaowen Chen, and Wenquan Feng. "An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments." PLOS ONE 16, no. 5 (2021): e0250930. http://dx.doi.org/10.1371/journal.pone.0250930.

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Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude “spikes”. At this time, the conventional Gaussian noise assumption is inadequate. The impuls

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13

Radlak, Krystian, Lukasz Malinski, and Bogdan Smolka. "Deep Learning Based Switching Filter for Impulsive Noise Removal in Color Images." Sensors 20, no. 10 (2020): 2782. http://dx.doi.org/10.3390/s20102782.

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Noise reduction is one of the most important and still active research topics in low-level image processing due to its high impact on object detection and scene understanding for computer vision systems. Recently, we observed a substantially increased interest in the application of deep learning algorithms. Many computer vision systems use them, due to their impressive capability of feature extraction and classification. While these methods have also been successfully applied in image denoising, significantly improving its performance, most of the proposed approaches were designed for Gaussian

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14

Liu, Peng, Nobuyoshi Kouguchi, and Ying Li. "Velocity Measurement of Coherent Doppler Sonar Assisted by Frequency Shift, Kalman Filter and Linear Prediction." Journal of Marine Science and Engineering 9, no. 2 (2021): 109. http://dx.doi.org/10.3390/jmse9020109.

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Velocity is vital information for navigation and oceanic engineering. Coherent Doppler sonar is an accurate tool for velocity measurement, but its use is limited due to velocity ambiguity. Velocity measured by frequency shift has no velocity ambiguity, yet its measurement error is larger than that of coherent Doppler sonar. Therefore, coherent Doppler sonar assisted by frequency shift is used to accurately measure velocity without velocity ambiguity. However, the velocity measured by coherent Doppler sonar assisted by frequency shift is affected by impulsive noise. To decrease the impulsive no

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15

Rao, Y. K., A. K. Srivastava, J. G. Doyle, and B. N. Dwivedi. "Origin of impulsive plasma outflows due to magnetoacoustic shocks." Monthly Notices of the Royal Astronomical Society 470, no. 2 (2017): 2449–56. http://dx.doi.org/10.1093/mnras/stx1115.

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16

Tzagkarakis, George, John Nolan, and Panagiotis Tsakalides. "Compressive Sensing Using Symmetric Alpha-Stable Distributions For Robust Sparse Signal Reconstruction." Compressive Sensing Using Symmetric Alpha-Stable Distributions For Robust Sparse Signal Reconstruction 67, no. 3 (2019): 808–20. https://doi.org/10.1109/TSP.2018.2887400.

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Abstract—Traditional compressive sensing (CS) primarily as- sumes light-tailed models for the underlying signal and/or noise statistics. Nevertheless, this assumption is not met in the case of highly impulsive environments, where non-Gaussian infinite- variance processes arise for the signal and/or noise components. This drives the traditional sparse reconstruction methods to failure, since they are incapable of suppressing the effects of heavy-tailed sampling noise. The family of symmetric alpha- stable (SαS) distributions, as a powerful tool for modeling heavy- tailed behaviors,

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17

Lyrintzis, A. S., and Y. Xue. "Acoustics of Transonic Flow Around an Oscillating Flap." Journal of Fluids Engineering 114, no. 2 (1992): 240–45. http://dx.doi.org/10.1115/1.2910021.

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Investigation of noise mechanisms due to unsteady transonic flow is important for aircraft noise reduction. In this work, the near-field impulsive noise due to an oscillating flap is simulated numerically. The problem is modeled by the two-dimensional high frequency transonic small disturbance equation (VTRAN2 code). The three types of unsteady shock wave motion have been identified. Two different important disturbances exist in the pressure signal. The disturbances are related to the unsteady motion of the supersonic pocket and fluctuating lift, and drag forces. Pressure wave signatures, nois

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18

Li, Xinyu, Qing Shi, Shuangyi Xiao, Shukai Duan, and Feng Chen. "A Robust Diffusion Minimum Kernel Risk-Sensitive Loss Algorithm over Multitask Sensor Networks." Sensors 19, no. 10 (2019): 2339. http://dx.doi.org/10.3390/s19102339.

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Distributed estimation over sensor networks has attracted much attention due to its various applications. The mean-square error (MSE) criterion is one of the most popular cost functions used in distributed estimation, which achieves its optimality only under Gaussian noise. However, impulsive noise also widely exists in real-world sensor networks. Thus, the distributed estimation algorithm based on the minimum kernel risk-sensitive loss (MKRSL) criterion is proposed in this paper to deal with non-Gaussian noise, particularly for impulsive noise. Furthermore, multiple tasks estimation problems

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19

Adams, Christian. "Modelling of noise due to impulsive excitation using nonlinear time series analysis." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 267, no. 1 (2023): 310–13. http://dx.doi.org/10.3397/no_2023_0062.

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Early acoustic machine design phases should target safety and comfort requirements, minimising the risk of hearing damage and noise exposure and ensuring a pleasant machine sound. Therefore, physical mechanisms of sound generation, propagation and radiation need to be modelled. Today, nonlinear physical relations in vibroacoustic models such as contact problems are mostly linearised. The aim of this paper is to increase the prediction quality of vibroacoustic models so that physical mechanisms behind sound generation due to complex physical, nonlinear phenomena can be better understood. The fo

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20

Larsen, Jakob Juul. "Model-based subtraction of spikes from surface nuclear magnetic resonance data." GEOPHYSICS 81, no. 4 (2016): WB1—WB8. http://dx.doi.org/10.1190/geo2015-0442.1.

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Surface nuclear magnetic resonance (surface NMR) has progressed significantly in recent years due to advances in instrumentation. In particular, the introduction of multichannel surface NMR instruments has been effective in improving the signal-to-noise ratio. The current methodology for noise reduction with multichannel instruments is, however, inadequate in complex noise environments, and there is a need for improved signal processing. We have evaluated a study of impulsive noise (spikes) in surface NMR data acquired with a Numis Poly instrument. We have determined how the spectral content c

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21

Aly, Kareem, John Vairo, and Mervyn Choy. "Characterization of Road noise levels increase due to installation of transverse rumble strips." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 266, no. 1 (2023): 1271–82. http://dx.doi.org/10.3397/nc_2023_0172.

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Transverse rumble strips have been widely employed as a means to warn distracted. Noise emissions from traveling over the rumble strips negatively impact surrounding communities. Moreover, the distinguished noise characteristic of rumble strips makes this noise a nuisance to the surrounding community. Measurements of the noise emission generated from vehicles passing over transverse rumble strips have been completed adjacent to the 18-rumble strips. To determine the impact of the rumble strips on noise generation, sound level measurements were taken of vehicles traveling over smooth pavement p

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22

Sun, Liping, Hongju Zhou, and Hongwei Zhou. "A Novel Second-OrderSine-Cost-Function-Derived Kernel Adaptive Algorithm for Non-Linear System Identification." Symmetry 15, no. 4 (2023): 827. http://dx.doi.org/10.3390/sym15040827.

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A novel kernel recursive second-order sine adaptive (KRSOSA) algorithm was devised for identifying non-linear systems, which was constructed using a symmetry squared sine function to develop a novel kernel loss function and recursive scheme. In the proposed KRSOSA algorithm, the squared sine function provides resistance to impulsive noise due to the sine operation, which was well-derived and investigated in the framework of kernel adaptive filtering (KAF). The behavior of the proposed KRSOSA algorithm was investigated and analyzed using computer simulations, which provided good performance for

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23

Pradhan, Somanath, Guoqiang Zhang, Xiaojun Qiu, J. C. Ji, and Jeffrey Parnell. "Robust improved multiband-structured subband adaptive filter for active noise control with impulsive interference." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A121. http://dx.doi.org/10.1121/10.0022987.

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The feedforward filtered-x least mean square algorithm is extensively implemented for active control of broadband noise. However, the control performance is substantially deteriorated due to colored noise and the presence of uncorrelated disturbances near the reference and error sensors. To tackle these issues, in this paper, a robust improved multiband-structured subband adaptive filter based on logarithmic and total least squares method is proposed for active control. Unlike the conventional method of total least squares, the proposed algorithm adopts logarithmic and Rayleigh quotient functi

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24

Wodecki, Jacek, and Anna Michalak. "Fault-related impulsive component detection for vibration-based diagnostics in the presence of random impulsive noise." IOP Conference Series: Earth and Environmental Science 942, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1755-1315/942/1/012016.

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Abstract In this paper, the authors propose the methodology for vibration-based diagnostics towards local damage detection in rolling element bearings in the presence of non-Gaussian noise. In real-life cases, the main problem making the analysis difficult is the non-Gaussianity of the high-energy noise present in the operational environment. Because of this fact, popular impulsiveness-related detection techniques cannot be used. In the presented article, a real-life data measured in an industrial scenario will be presented and a proposition of an approach to cyclic component extraction will b

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25

Hebda-Sobkowicz, Justyna, Radosław Zimroz, and Agnieszka Wyłomańska. "Selection of the Informative Frequency Band in a Bearing Fault Diagnosis in the Presence of Non-Gaussian Noise—Comparison of Recently Developed Methods." Applied Sciences 10, no. 8 (2020): 2657. http://dx.doi.org/10.3390/app10082657.

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The vibration signals acquired on machines usually have complex spectral structure. As the signal of interest (SOI) is weak (especially at an early stage of damage) and covers some frequency range (around structural resonance), it requires its extraction from a raw observation. Until now, most of the techniques assumed the presence of Gaussian noise. Unfortunately, there are cases when the non-informative part of the signal (considered as the noise) is non-Gaussian due to the random disturbances or nature of the process executed by the machine. Thus, the problem can be formulated as the extrac

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26

Wei, Zhouchao, Yuxi Li, Irene Moroz, and Wei Zhang. "Melnikov-type method for a class of planar hybrid piecewise-smooth systems with impulsive effect and noise excitation: Heteroclinic orbits." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 10 (2022): 103127. http://dx.doi.org/10.1063/5.0106073.

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The classical Melnikov method for heteroclinic orbits is extended theoretically to a class of hybrid piecewise-smooth systems with impulsive effect and noise excitation. We assume that the unperturbed system is a piecewise Hamiltonian system with a pair of heteroclinic orbits. The heteroclinic orbit transversally jumps across the first switching manifold by an impulsive effect and crosses the second switching manifold continuously. In effect, the trajectory of the corresponding perturbed system crosses the second switching manifold by applying the reset map describing the impact rule instantan

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27

Ngandu Kalala, Gauthier, Xavier Chiementin, Lanto Rasolofondraibe, Abir Boujelben, and Bovic Kilundu. "Modeling Impulsive Ball Mill Forces Effects on the Dynamic Behavior of a Single-Stage Gearbox." Machines 10, no. 4 (2022): 226. http://dx.doi.org/10.3390/machines10040226.

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Gearboxes are frequently used in the mining industry, especially for power transmission between the electric drive and the ball mill; besides the extreme complexity of a ball mill gear transmission system, the fault diagnosis by vibration analysis can be easily distorted by the presence of impulsive noises due to the ball pulses on the mill shell. Although several works in the literature are related to the influence of an impulsive noise on the accuracy of the diagnosis, no dynamic model exists yet in the literature that can explain the influence of these forces on the dynamic behavior of gear

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28

Darus, N., Z. Haron, K. Yahya, et al. "Impulsivity of Noise due to Single Lightweight Vehicles Transit on Transverse Rumble Strip." E3S Web of Conferences 34 (2018): 02026. http://dx.doi.org/10.1051/e3sconf/20183402026.

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Transverse Rumble Strips (TRS) acts as safety device that alert inattentive drivers from potential dangers. However, the noise produced due to TRS was reported as noise annoyance among the nearby residents lived adjacent to roadways. Thus, this paper investigates the impulsivity characteristic of noise due to single lightweight vehicles transit on TRS. The objectives of this study are to determine the increase of sound level and to evaluate the impulsivity of noise. Two TRS profiles namely middle overlapped (MO) and middle layer overlapped (MLO) were selected. Three types of single lightweight

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29

Sehba, Yousuf, and Arushi Baradwaj Er. "Image Filtering Based on GMSK." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 33–35. https://doi.org/10.31142/ijtsrd18403.

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Image Denoising is an important pre processing task which is used before further processing of image. The purpose of denoising is to remove the noise while retaining the edges and other detailed features. This noise gets introduced during the process of acquisition, transmission and reception and storage and retrieval of the data. Due to this there is degradation in visual quality of image. The noises which are of major considerations are Additive White Gaussian Noise AWGN and Impulsive Noise. Sehba Yousuf | Er. Arushi Baradwaj "Image Filtering Based on GMSK" Published in Internation

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30

Carrascal García, Teresa, Amelia Romero Fernández, and Belén Casla Herguedas. "Applying Spanish Acoustic Regulations to mechanical ventilation with heat recovery systems. Case study." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 5 (2023): 2271–80. http://dx.doi.org/10.3397/in_2022_0325.

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Due to recent changes in IAQ (Indoor Air Quality) and energy efficiency requirements, MVHR (Mechanical Ventilation with Heat Recovery) has become increasingly common in Spanish new build dwellings. Regarding acoustics, Spanish Decree RD 1367/2007 sets out limits for sound pressure levels due to building services and describes the noise measurement and assessment procedure, which applies also to ventilation noise. The assessment procedure consists of a series of measurements of different noise parameters and then the calculation of corrections due to tonal, low frequency and impulsive component

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Smirnova, V. V., Yu T. Tsap, G. G. Motorina, A. S. Morgachev, and M. Bárta. "Thermal instability in the impulsive phase of solar flares with sub-THz component." Proceedings of the International Astronomical Union 19, S365 (2023): 414–19. https://doi.org/10.1017/s1743921323005185.

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AbstractCoronal rain is formed in the post-impulsive phase of solar flares due to the thermal instability of coronal plasma in EUV loops. As a result, the sub-terahertz (sub-THz) emission flux in the post-impulsive phase of solar flares can be increased due to the increasing of the optical thickness of the thermal source. This suggests that sub-THz observations can be used as a diagnostic tool for coronal rain.This work is aimed to analyse the relationship between the sub-THz radiation and variations of the temperature and the emission measure of the EUV coronal plasma during the post-impulsiv

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ZHAO, TONG-JUN, YI-ZHONG ZHUO, YONG ZHAN, QING JI, and TIAN-GUANG CAO. "TWO-DIMENSIONAL RATCHETS WITH NON-CONSERVATIVE IMPULSIVE FORCE." Modern Physics Letters B 16, no. 26 (2002): 999–1006. http://dx.doi.org/10.1142/s0217984902004706.

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We discuss the directed motion of overdamped Brownian particles based on a two-dimensional ratchet model with a non-conservative impulsive force field. We consider the combined effects on the stationary current due to local spatial asymmetry in the longitudinal direction as well as the constrained harmonic force in the transverse direction. We notice that the current reversal is induced by the change of colored noise strength and the dynamics in the transverse direction influences the directed motion in the longitudinal direction significantly. The non-conservative impulsive force that represe

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33

Inban, Prayuth, Rachu Punchalard, and Chawalit Benjangkaprasert. "Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation." International Journal of Antennas and Propagation 2024 (March 18, 2024): 1–13. http://dx.doi.org/10.1155/2024/9055869.

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A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. The proposed technique makes use of the instantaneous phase response of a first-order complex linear predictor (CLP) as a driving function to update the frequency parameter of the CLP. The proposed PEC is attractive due to its simplicity and high impulsive noise robustness. Theoretical analysis for the mean value of the estimated frequency and the steady-state mean square error (MSE) of the frequency estimate are

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Wu, Yaohui, Pengfei Shao, Shaozhong Zhang, and Youming Li. "Adaptive Channel Estimation for Underwater Acoustic OFDM System in Impulsive Noise Environment." Wireless Communications and Mobile Computing 2022 (January 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/1455526.

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Applying the orthogonal matching pursuit (OMP) to estimate the underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) channels is attractive because of its high estimation accuracy and low computational cost. However, most existing OMP-based algorithms suffer the limited estimation accuracy in impulsive noise (IN) cases. Through the studies can be found, only part of channels’ estimation is affected due to the random IN which appears transient and intermittent in time and frequency. Based on this observation, joint time-frequency OMP (JTF-OMP) method is proposed, where the

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35

Cui, Junyan, Wei Pan, and Haipeng Wang. "Direction of Arrival Estimation Method Based on Eigenvalues and Eigenvectors for Coherent Signals in Impulsive Noise." Mathematics 12, no. 6 (2024): 832. http://dx.doi.org/10.3390/math12060832.

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In this paper, a Toeplitz construction method based on eigenvalues and eigenvectors is proposed to combine with traditional denoising algorithms, including fractional low-order moment (FLOM), phased fractional low-order moment (PFLOM), and correntropy-based correlation (CRCO) methods. It can improve the direction of arrival (DOA) estimation of signals in impulsive noise. Firstly, the algorithm performs eigenvalue decomposition on the received covariance matrix to obtain eigenvectors and eigenvalues, and then the Toeplitz matrix is created according to the eigenvectors corresponding to its eige

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Chloupek, Petr, Eva Voslářová, Jan Chloupek, Iveta Bedáňová, Vladimíra Pištěková, and Vladimír Večerek. "Stress in Broiler Chickens Due to Acute Noise Exposure." Acta Veterinaria Brno 78, no. 1 (2009): 93–98. http://dx.doi.org/10.2754/avb200978010093.

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Stress effects from acute noise exposure were monitored in a group of ROSS 308 broiler chickens (n = 80), aged 42 days. The experiment simulated slaughterhouse sounds to which the broilers were exposed for 10 min in the test enclosure. Effects of acute noise exposure at two different levels (80 dB and 100 dB) were evaluated on the basis of examinations of selected biochemical plasma indicators and tonic immobility tests. Noise stimuli of both 80 dB and 100 dB intensities for 10 min induced a significant elevation in plasma corticosterone levels. Broilers that were exposed to noise stimuli of 1

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37

Min Hwang, Yu, Young Ghyu Sun, Issac Sim, and Jin Young Kim. "Iterative Approach for Performance Improvement of PLC Systems." International Journal of Engineering & Technology 7, no. 4.4 (2018): 7. http://dx.doi.org/10.14419/ijet.v7i4.4.19592.

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In this paper, we propose Turbo equalizer scheme using zero-forcing (ZF) and simulate in power line communication (PLC) systems with high speed. Due to impulsive noise and multipath fading in PLC systems, inter-symbol interference (ISI) happens. We employ Turbo equalizer scheme to get over ISI and improve performance. From simulation results, it is confirmed that the proposed Turbo equalizer can remarkably improve PLC system performance.

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38

Kou, Xu, Yanbo Wu, and Min Zhu. "Iterative decision feedback equalization using a variable step-size hyperbolic secant adaptive filter algorithm for under-ice acoustic communication." Journal of the Acoustical Society of America 157, no. 5 (2025): 3946–57. https://doi.org/10.1121/10.0036776.

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Small man-portable unmanned underwater vehicles enhance exploration in under-ice environments while reducing deployment costs. Single-input single-output underwater acoustic communication systems are advantageous for these unmanned underwater vehicles due to their low power consumption, compact design, and user-friendliness. However, the lack of diversity gain in single-input single-output systems presents challenges in complex oceanic environments. Although under-ice underwater acoustic channels typically exhibit stability, impulsive noise severely degrades signal quality. Conventional Gaussi

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39

Shin, Jaewook, Jeesu Kim, Tae-Kyoung Kim та Jinwoo Yoo. "ℒp-Norm-like Affine Projection Sign Algorithm for Sparse System to Ensure Robustness against Impulsive Noise". Symmetry 13, № 10 (2021): 1916. http://dx.doi.org/10.3390/sym13101916.

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An improved affine projection sign algorithm (APSA) was developed herein using a Lp-norm-like constraint to increase the convergence rate in sparse systems. The proposed APSA is robust against impulsive noise because APSA-type algorithms are generally based on the L1-norm minimization of error signals. Moreover, the proposed algorithm can enhance the filter performance in terms of the convergence rate due to the implementation of the Lp-norm-like constraint in sparse systems. Since a novel cost function of the proposed APSA was designed for maintaining the similar form of the original APSA, th

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40

Arenas, Jorge, Jorge Cardenas, Christian Robertson, and Jose L. Urnia. "Assessment of hearing loss risk due to impact noise in industrial environments." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (2023): 6362–68. http://dx.doi.org/10.3397/in_2022_0954.

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Impact noises are often found in industrial environments and they are predominant in mining, construction, factories, workshops, and shipyards. It is well-known that impact noises are more likely to cause noise-induced hearing loss than continuous noise of equal energy. Impulse noises are characterized by their high intensity over a short period of time and many countries have defined impulse noise exposure limits and criteria in occupational settings. They are based on the sound level measurements made using standard sound pressure level meters and dosemeters. However, because of their metrol

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41

Zhao, Xin, Lijun Wang, Pankaj Kumar Tiwari, et al. "Investigation of a nutrient-plankton model with stochastic fluctuation and impulsive control." Mathematical Biosciences and Engineering 20, no. 8 (2023): 15496–523. http://dx.doi.org/10.3934/mbe.2023692.

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<abstract><p>In this paper, we investigate a stochastic nutrient-plankton model with impulsive control of the nutrient concentration and zooplankton population. Analytically, we find that the population size is nonnegative for a sufficiently long time. We derive some sufficient conditions for the existence of stable periodic oscillations, which indicate that the plankton populations will behave periodically. The numerical results show that the plankton system experiences a transition from extinction to the coexistence of species due to the emergence of impulsive control. Additional

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42

CHAN, RAYMOND H., HAI-XIA LIANG, and JUN MA. "POSITIVELY CONSTRAINED TOTAL VARIATION PENALIZED IMAGE RESTORATION." Advances in Adaptive Data Analysis 03, no. 01n02 (2011): 187–201. http://dx.doi.org/10.1142/s1793536911000817.

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The total variation (TV) minimization models are widely used in image processing, mainly due to their remarkable ability in preserving edges. There are many methods for solving the TV model. These methods, however, seldom consider the positivity constraint one should impose on image-processing problems. In this paper we develop and implement a new approach for TV image restoration. Our method is based on the multiplicative iterative algorithm originally developed for tomographic image reconstruction. The advantages of our algorithm are that it is very easy to derive and implement under differe

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43

EL GHZAOUI, Mohammed. "Performance Analysis of MIMO System over an In-home PLC Channel." ASM Science Journal 15 (May 17, 2021): 1–10. http://dx.doi.org/10.32802/asmscj.2020.460.

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Power line communication (PLC) system is an attractive technology for Smart Grid applications. One key benefit of PLC is its low installation cost because, in PLC technology, we do not need to install any extra cable to extend a network due to the accessibility to low voltage power network. Orthogonal frequency division multiplexing (OFDM) is widely used in PLC networks. Currently, Multiple Input Multiple Output (MIMO) technology is one of the processing techniques appropriate to PLC networks, allowing high data rate. In this work, the MIMO-OFDM system is established to provide better performa

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44

Ding, Liang, Hui Zhao, and Yixin Dou. "Sparse Signal Inversion with Impulsive Noise by Dual Spectral Projected Gradient Method." Mathematical Problems in Engineering 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/2736306.

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We consider sparse signal inversion with impulsive noise. There are three major ingredients. The first is regularizing properties; we discuss convergence rate of regularized solutions. The second is devoted to the numerical solutions. It is challenging due to the fact that both fidelity and regularization term lack differentiability. Moreover, for ill-conditioned problems, sparsity regularization is often unstable. We propose a novel dual spectral projected gradient (DSPG) method which combines the dual problem of multiparameter regularization with spectral projection gradient method to solve

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45

Tsukagoshi, Tsuneo, Shuichi Nitta, and Atsuo Mutoh. "An analysis on malfunction of a flip-flop due to impulsive noise on power supply." Electronics and Communications in Japan (Part II: Electronics) 86, no. 10 (2003): 36–50. http://dx.doi.org/10.1002/ecjb.10187.

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46

Żak, Grzegorz, Marek Teuerle, Agnieszka Wyłomańska та Radosław Zimroz. "Measures of Dependence for α-Stable Distributed Processes and Its Application to Diagnostics of Local Damage in Presence of Impulsive Noise". Shock and Vibration 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1963769.

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Local damage detection in rotating machinery is simply searching for cyclic impulsive signal in noisy observation. Such raw signal is mixture of various components with specific properties (deterministic, random, cyclic, impulsive, etc.). The problem appears when the investigated process is based on one of the heavy-tailed distributions. In this case the classical measure can not be considered. Therefore, alternative measures of dependence adequate for such processes should be considered. In this paper we examine the structure of dependence of alpha-stable based systems expressed by means of t

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47

Lee, Sang-Kwon. "Sliced Wigner Fourth Order Moment Spectra Smoothed byγ-Method and Its Application to Detection of Valve System Faults in an Engine". Shock and Vibration 8, № 6 (2001): 339–48. http://dx.doi.org/10.1155/2001/128143.

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The research proposes a method for detecting valve system faults in an engine. The methodology is based on the detection of impulsive sound embedded in the high level of background noise by using the sliced Wigner fourth order moment spectra (SWFOMS) which is inherently more robust in the presence of random (Gaussian) noise. However, in previous work, the SWFOMS for multiple signals had problems with its application which were due to the existence of non-oscillating cross-terms not smoothed by conventional methods. In this paper, the γ-method is developed to smooth non-oscillation cross-terms.

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48

DuBois, Ami M., Edward Thomas, William E. Amatucci, and Gurudas Ganguli. "Experimental characterization of broadband electrostatic noise due to plasma compression." Journal of Geophysical Research: Space Physics 119, no. 7 (2014): 5624–37. http://dx.doi.org/10.1002/2014ja020198.

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Patanavijit, Vorapoj, and Kornkamol Thakulsukanant. "An innovative vigorous outlier recognition placed on LROAD for fix-amplitude impulsive noise." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2044–53. http://dx.doi.org/10.11591/eei.v11i4.4168.

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Due to large current applications on digital images in these recent years, outlier suppression is one of the primary stages for modern computer vision implementations thereupon there are tremendously invented for creating an efficient and practical outlier suppression, which ordinarily are composed of outlier recognition stage and outlier rebuilt stage. The localised rank ordered difference (LROAD) approach, which is progressed from rank-ordered absolute differences (ROAD), has been invented since 2016. Later, the LROAD approach evolved to be one of the efficient outlier recognition stages fro

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50

Limbong, Hanspran, Lailan Sofinah Harahap, and Rafli Arya Gading. "Comparison of Median Filter and Gaussian Filter Performance in Removing Salt and Pepper Noise." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 1849–54. https://doi.org/10.59934/jaiea.v4i3.1033.

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Image processing plays a critical role in various applications, from medical diagnostics to surveillance systems. However, one of the major challenges in digital image processing is the presence of noise, particularly salt and pepper noise, which significantly degrades image quality. This study aims to compare the effectiveness of two popular filtering techniques—Median Filter and Gaussian Filter—in removing salt and pepper noise from digital images. The evaluation is conducted both quantitatively, using Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE) metrics, and qualitatively,

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