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Journal articles on the topic 'Impulsive signal'

Author: Grafiati

Published: 1 April 2023

Last updated: 25 July 2025

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1

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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2

BARRABÈS, C., and P. A. HOGAN. "IMPULSIVE LIGHT-LIKE SIGNALS." International Journal of Modern Physics A 17, no. 20 (2002): 2746. http://dx.doi.org/10.1142/s0217751x02011734.

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A general characterisation of an impulsive light–like signal was given1,2. The signal may consist of a shell of null matter and/or an impulsive gravitational wave. Both parts of the signal can be unambiguously identified3,4. The signals can be used to model bursts of gravitational radiation and light– like matter accompanying cataclysmic events such as supernovae and neutron star collisions. Also in high speed collisions of compact objects such as black–holes or neutron stars the gravitational fields of these objects resemble those of impulsive light–like signals when the objects are boosted t

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3

Logan, Gordon D., Russell J. Schachar, and Rosemary Tannock. "Impulsivity and Inhibitory Control." Psychological Science 8, no. 1 (1997): 60–64. http://dx.doi.org/10.1111/j.1467-9280.1997.tb00545.x.

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We report an experiment testing the hypothesis that impulsive behavior reflects a deficit in the ability to inhibit prepotent responses Specifically, we examined whether impulsive people respond more slowly to signals to inhibit (stop signals) than non-impulsive people In this experiment, 136 undergraduate students completed an impulsivity questionnaire and then participated in a stop-signal experiment, in which they performed a choice reaction time (go) task and were asked to inhibit their responses to the go task when they heard a stop signal The delay between the go signal and the stop sign

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4

Xu, Xiaojing, Yansheng Liu, Haitao Li, and Fuad E. Alsaadi. "Synchronization of switched Boolean networks with impulsive effects." International Journal of Biomathematics 11, no. 06 (2018): 1850080. http://dx.doi.org/10.1142/s1793524518500808.

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This paper studies the state/output synchronization of switched Boolean networks (SBNs) with impulsive effects via the algebraic state space representation (ASSR) approach. First, an algebraic form is established for SBNs with impulsive effects via ASSR. Second, based on the algebraic form, some necessary and sufficient conditions are presented for the state/output synchronization of SBNs with impulsive effects under arbitrary switching signals. Third, two special kinds of switching signals, that is, free switching signal and feedback switching signal, are considered for the state synchronizat

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5

Ahadiat, Mohammad Reza, Paeiz Azmi, and Afrooz Haghbin. "The Mitigation of the Effect of Impulsive Noise in OFDM-PLC Systems." Journal of Research in Science, Engineering and Technology 3, no. 01 (2019): 18–25. http://dx.doi.org/10.24200/jrset.vol3iss01pp18-25.

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This paper proposes an new iterative method to recover the signals corrupted by impulsive noise in MIMO-OFDM systems over In-home PLC. In this iterative technique, preliminary decisions are made to get the impulsive noise detection algorithm for finding the locations and amplitudes of the impulses, and then signal estimation block for approximation the signals for two-branch 2*2 MIMO-OFDM at the receiver. In each iteration, this signals approximation are used to improve the noise estimate. After impulsive noise detection, an comparison - decision algorithm is employed to compare two noises est

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6

Aijun, Hu, Lin Jianfeng, Sun Shangfei, and Xiang Ling. "A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing." Shock and Vibration 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9375491.

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The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic components. The features of early fault in rolling bearing are very weak, which are often masked by background noise. The impulsiveness of the vibration signal has affected the identification of characteristic frequency for the early fault detection of the bearing. In this paper, a novel approach based on morphological operators is presented for impulsive signal extraction of early fault in rolling element bearing. The combination Top-Hat (CTH)

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7

Pan, Jin Feng, and Yan Zhang. "The Denoising Method for Transient Speed Signal of Diesel Engine." Advanced Materials Research 291-294 (July 2011): 2081–84. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2081.

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A new denoising method for the diesel engine transient speed signal was proposed, especially for the signal seriously corrupted by impulsive noises. This method takes two steps. The first step is to do impulsive noise removing. An improved differential rank impulse detector was used to do impulsive noise detection in this paper. After the impulsive noise was detected, it was replaced by the median value of the window it was in. Then the second step low pass filtering is taking on. Experiments show that the proposed method could remove the noise of the acquired diesel transient speed signals ef

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8

Mohanty, Mihir Narayan, and Sarthak Panda. "Impulsive Noise Cancellation from ECG Signal using Adaptive Filters and their Comparison." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 2 (2016): 369. http://dx.doi.org/10.11591/ijeecs.v3.i2.pp369-376.

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<em>Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS

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9

Hou, Bingchang, and Dong Wang. "Impulsive Mode Decomposition and its Four Application Cases to Impulsive Signal Extraction." Proceedings of the International Conference on Condition Monitoring and Asset Management 2024, no. 1 (2024): 7–13. https://doi.org/10.1784/cm2024.6a4.

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Impulsive signal components widely exist in nature, and the extraction of impulsive signal components has attracted great attention from various fields such as machine fault diagnosis, non-destructive testing, ECG denoising, etc. Although signal decomposition methods, including empirical mode decomposition, variational mode decomposition, wavelet packet transform, and singular value decomposition, have been applied to extract impulsive signal components, they still suffer from problems such as failure extraction of weak impulsive signal components and mode mixing, and they are also hard to ada

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10

Zhang, Haibin, Yuan Zheng, and Fanrang Kong. "Weak impulsive signals detection based on step-varying asymmetric stochastic resonance." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 2 (2016): 242–62. http://dx.doi.org/10.1177/0954406216631374.

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Rotating machinery response is often characterized by the presence of periodic impulses modulated by high-frequency components. The fault information is often hidden in its envelope signal which is unilateral when demodulated. Conventional stochastic resonance with a symmetric potential cannot always contain the signal’s original features especially the asymmetry. In this article, a step-varying asymmetric stochastic resonance system for impulsive signal denoising and recovery as well as the rotating machine fault diagnosis is proposed to further improve the impulsive signal-to-noise ratio. In

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11

Bae, Bum Won, In Pil Kang, and Yeon Sun Choi. "A Gear Chain Fault Detection Method Using an Adaptive Interference Canceling." Key Engineering Materials 345-346 (August 2007): 1303–6. http://dx.doi.org/10.4028/www.scientific.net/kem.345-346.1303.

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A fault diagnosis method based on wavelet and adaptive interference canceling is presented for the identification of a damaged gear tooth. A damaged tooth of a certain gear chain generates impulsive signals that could be informative to fault detections. Many publications are available not only for the impulsive vibration signal analysis but the application of signal processing techniques to the impulsive signal detections. However, most of the studies about the gear fault detection using the impulsive vibration signals of a driving gear chain are limited to the verification of damage existence

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12

Bao, Xing Xian, and Cui Lin Li. "A Method of Signal-Noise Separation from Measured Vibration Response Signals." Advanced Materials Research 199-200 (February 2011): 909–12. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.909.

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Measured vibration response signals are inevitably contaminated with noise originating from test environment as well as electronic devices. This situation often leads to serious difficulties in many applications as they require high-quality measured data. This paper presents a signal-noise separation method for measured impulsive response functions (IRFs) based on structured low rank approximation (SLRA). The proposed method was tested with a steel cantilever beam, which was subjected to impulsive excitation. Gabor transform was also employed to process measured signals. The results show that

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13

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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14

Ma, Jitong, Jiacheng Zhang, Zhengyan Yang, and Tianshuang Qiu. "Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise." Sensors 22, no. 16 (2022): 6268. http://dx.doi.org/10.3390/s22166268.

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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. However, it remains a challenge to accurately estimate DOA for multiple-input multiple-output (MIMO) radar in impulsive noise environments. To address this problem, an off-grid DOA estimation method for monostatic MIMO radar is proposed to deal with non-circular signals under impulsive noise. In the proposed method, firstly, based on the property of non-circular signal and array struct

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15

Wang, Wenyuan, and Qiang Sun. "Robust Adaptive Estimation of Graph Signals Based on Welsch Loss." Symmetry 14, no. 2 (2022): 426. http://dx.doi.org/10.3390/sym14020426.

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This paper considers the problem of adaptive estimation of graph signals under the impulsive noise environment. The existing least mean squares (LMS) approach suffers from severe performance degradation under an impulsive environment that widely occurs in various practical applications. We present a novel adaptive estimation over graphs based on Welsch loss (WL-G) to handle the problems related to impulsive interference. The proposed WL-G algorithm can efficiently reconstruct graph signals from the observations with impulsive noises by formulating the reconstruction problem as an optimization

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16

Lan, Xiaoyu, Jingyi Hu, Yudi Zhang, Shuang Ma, and Ye Tian. "A Novel DOA Estimation Algorithm Based on Robust Mixed Fractional Lower-Order Correntropy in Impulsive Noise." Electronics 13, no. 12 (2024): 2386. http://dx.doi.org/10.3390/electronics13122386.

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The estimation of direction of arrival (DOA) is paramount in the realm of practical array signal processing systems. Nevertheless, traditional estimation methods often rely heavily on the Gaussian noise assumption, rendering them ineffective in achieving high-precision estimates in environments plagued by strong impulsive noise. To address this challenge, this paper introduces a novel DOA estimation algorithm that leverages mixed fractional lower-order correntropy (MFLOCR) in the context of Alpha-stable distributed impulsive noise. Correntropy is used as a measure of the similarity of the sign

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17

Wang, Haiying, Qunying Zhang, Wenhai Cheng, Jiaming Dong, and Xiaojun Liu. "A Novel Parameter Estimation Method Based on Piecewise Nonlinear Amplitude Transform for the LFM Signal in Impulsive Noise." Electronics 12, no. 11 (2023): 2530. http://dx.doi.org/10.3390/electronics12112530.

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In a complex electromagnetic environment, any noise present generally exhibits strong impulsive characteristics. The performance of existing parameter estimation methods carried out in Gaussian white noise for the linear frequency modulation (LFM) signal degrades or even fails under impulsive noise. This paper proposes a novel parameter estimation method to address this problem. Firstly, the properties of the piecewise nonlinear amplitude transform (PNAT) are derived. This manuscript verifies that the PNAT can retain phase information of the LFM signal while suppressing the impulsive noise. Su

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18

Van, Mien, Pasquale Franciosa, and Dariusz Ceglarek. "Rolling Element Bearing Fault Diagnosis Using Integrated Nonlocal Means Denoising with Modified Morphology Filter Operators." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/9657285.

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The impulses in vibration signals are used to identify faults in the bearings of rotating machinery. However, vibration signals are usually contaminated by noise that makes the process of extracting impulse characteristic of localized defect very challenging. In order to effectively diagnose bearing with noise masking vibration signal, a new methodology is proposed using integrated (i) nonlocal means- (NLM-) based denoising and (ii) improved morphological filter operators. NLM based denoising is first employed to eliminate or reduce the background noise with minimal signal distortion. This den

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19

Zhou, Xiang, Ru Wu, Wen Chen, Meiling Dai, Peibin Zhu, and Xiaomei Xu. "Thresholding Dolphin Whistles Based on Signal Correlation and Impulsive Noise Features Under Stationary Wavelet Transform." Journal of Marine Science and Engineering 13, no. 2 (2025): 312. https://doi.org/10.3390/jmse13020312.

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The time–frequency characteristics of dolphin whistle signals under diverse ecological conditions and during environmental changes are key research topics that focus on the adaptive and response mechanisms of dolphins to the marine environment. To enhance the quality and utilization of passive acoustic monitoring (PAM) recorded dolphin whistles, the challenges faced by current wavelet thresholding methods in achieving precise threshold denoising under low signal-to-noise ratio (SNR) are confronted. This paper presents a thresholding denoising method based on stationary wavelet transform (SWT),

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20

Huang, Shiguo, Yujun Niu, and Yajing Xu. "Exponential Stability of Impulsive Stochastic Delay System Based on Razumikhin Method and Its Application to Chaos Control." Mathematical Problems in Engineering 2021 (August 23, 2021): 1–6. http://dx.doi.org/10.1155/2021/2220301.

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In this paper, the exponential stability of a stochastic delay system with impulsive signal is considered, and stability theorem of this system is proposed based on the Lyapunov–Razumikhin method; the convergence rate is also given, which gives theoretical foundation to chaos control and synchronization using the impulsive method. Finally, the classic delay chaos system with white noise and impulsive signal is employed to verify the feasibility and effectiveness of our theorem.

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21

Bedicks, G., C. E. S. Dantas, F. Sukys, F. Yamada, L. T. M. Raunheitte, and C. Akamine. "Digital Signal Disturbed by Impulsive Noise." IEEE Transactions on Broadcasting 51, no. 3 (2005): 322–28. http://dx.doi.org/10.1109/tbc.2005.851139.

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22

Nuawi, Mohd Zaki, Abdul Rahim Bahari, Shahrum Abdullah, and Ahmad Kamal Ariffin. "Comparison of Young's Modulus Property Determination of Metallic Materials under Two Statistical Analysis Methods." Advanced Materials Research 894 (February 2014): 186–91. http://dx.doi.org/10.4028/www.scientific.net/amr.894.186.

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This paper presents an alternative statistical signal analysis method to characterise and determine Youngs modulus property of metallic materials. For this characterisation purpose, we propose an alternative method called Integrated Kurtosis-based Algorithm for Z-notch filter (I-kazTM) and Mesokurtosis Zonal Nonparametric (M-Z-N). Impulsive excitation test has been performed according to ASTM E1876 on three metallic materials of medium carbon steel S50C, stainless steel AISI 304 and brass to measure the piezoelectric and acoustic signals. The transient acoustic signal has been analysed using M

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Li, Sen, Xiaojing Chen, and Rongxi He. "Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment." International Journal of Antennas and Propagation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9038341.

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This paper addresses the issue of direction finding of a cyclostationary signal under impulsive noise environments modeled byα-stable distribution. Sinceα-stable distribution does not have finite second-order statistics, the conventional cyclic correlation-based signal-selective direction finding algorithms do not work effectively. To resolve this problem, we define two robust cyclic correlation functions which are derived from robust statistics property of the correntropy and the nonlinear transformation, respectively. The MUSIC algorithm with the robust cyclic correlation matrix of the recei

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Peng, Zhijun, Yang Li, Xiaofeng Liao, and Chuandong Li. "Impulsive Synchronization of Lü Chaotic System Based on Small Impulsive Signal." International Journal of Theoretical Physics 47, no. 3 (2007): 797–804. http://dx.doi.org/10.1007/s10773-007-9503-2.

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Lee, Dong-Hyeon, Chinsuk Hong, Weui-Bong Jeong, and Sejin Ahn. "Time–Frequency Envelope Analysis for Fault Detection of Rotating Machinery Signals with Impulsive Noise." Applied Sciences 11, no. 12 (2021): 5373. http://dx.doi.org/10.3390/app11125373.

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Envelope analysis is a widely used tool for fault detection in rotating machines. In envelope analysis, impulsive noise contaminates the measured signal, making it difficult to extract the features of defects. This paper proposes a time–frequency envelope analysis that overcomes the effects of impulsive noises. Envelope analysis is performed by dividing the signal into several sections through a time window. The effect of impulsive noises is eliminated by using the frequency characteristics of the short time rectangular wave. The proposed method was verified through simulation and experimental

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Schmidt, Stephan, Radoslaw Zimroz, Fakher Chaari, P. Stephan Heyns, and Mohamed Haddar. "A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments." Sensors 20, no. 7 (2020): 2115. http://dx.doi.org/10.3390/s20072115.

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Reliable condition indicators are necessary to perform effective diagnosis and prognosis. However, the vibration signals are often corrupted with non-Gaussian noise and rotating machines may operate under time-varying operating conditions. This impedes the application of conventional condition indicators. The synchronous average of the squared envelope is a relatively simple yet effective method to perform fault detection, fault identification and fault trending under constant and time-varying operating conditions. However, its performance is impeded by the presence of impulsive signal compone

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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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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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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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Randall, R. B. "Applications of Spectral Kurtosis in Machine Diagnostics and Prognostics." Key Engineering Materials 293-294 (September 2005): 21–32. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.21.

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Many machine faults, such as local defects in bearings and gears, manifest themselves in vibration signals as a series of impulsive events. Kurtosis is a measure of the impulsiveness of a signal, and spectral kurtosis (SK) gives an indication of how the kurtosis (of a bandpass filtered signal) varies with frequency. This not only gives an indication of the frequency bands to be processed, but can also be used to generate a filter to extract the most impulsive part of a signal. The first step in calculating SK is to perform a time/frequency decomposition of the signal, and then calculate the ku

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Lee, Sang Kwon, Jang Sun Shim, and Byung-Og Cho. "Damage Detection of a Gear with Initial Pitting Using the Zoomed Phase Map of Continuous Wavelet Transform." Key Engineering Materials 306-308 (March 2006): 223–28. http://dx.doi.org/10.4028/www.scientific.net/kem.306-308.223.

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Impulsive vibration generated by localized gear damage can be used as an indicator for damage detection. Local damage induces an abrupt increase of the amplitude and phase lag of the impulsive vibration signal measured on the gearbox. Relatively large damage like “tip breakage” can be easily detected by the amplitude map of CWT (continuous wavelet transform) for the impulsive vibration signal measured on the gearbox. However, minor damage like “initial pitting” cannot be detected with the amplitude map. To overcome this problem, in this paper we take into account the phase map for a damage sig

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Wang, Hongchao, and Wenliao Du. "Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery." Complexity 2020 (August 18, 2020): 1–14. http://dx.doi.org/10.1155/2020/9857839.

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Rolling element bearing and gear are the typical supporting or rotating parts in mechanical equipment, and it has important economy and security to realize their quick and accurate fault detection. As one kind of powerful cyclostationarity signal analyzing method, spectral correlation (SC) could identify the impulsive characteristic component buried in the vibration signals of rotating machinery effectively. However, the fault feature such as impulsive characteristic component is often interfered by other background noise, and the situation is serious especially in early weak fault stage. Besi

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Reeder, D. Benjamin, John Joseph, and S. Kyle Wheeler. "Sea ice mechanical property inference using cryophones and coherent signals." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A124. http://dx.doi.org/10.1121/10.0022996.

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Mechanical properties of Arctic sea ice can be inferred by observation of the speeds of compressional, shear and flexural waves generated through in-ice conversion of impulsive energy. In prior work, the impulsive signal was generated by a lead ball or sledge hammer dropped onto the top of the sea ice, and the inversion process required meticulous, manual extraction of signal amplitudes. The work presented here makes use of (a) coherent sources with which broadband signals can be generated to replace the manually generated hammer-drop signals and improve accuracy via matched filter, as well as

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Li, Guo Jun, Xiao Na Zhou, Nai Qian Liu, and Shao Hua Li. "Robust Tracking Time-Varying High-Frequency CW Telegraph Signal." Applied Mechanics and Materials 155-156 (February 2012): 435–39. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.435.

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Continuous wave (CW) telegraph is a crucial communication means for high-frequency tactical communication. But there is serious frequency deviation and impulsive noise in High-frequency channel, thus the conventional tracking method based on Gaussian noise assumption may lose the track of time-varying CW signal. A new robust kalman filter-based tracker is proposed in this paper to extract the time-varying CW signal in presence of impulsive interference, which uses a nonlinear statistical model. Simulation studies show this method can dynamically track nonstationary CW signal and effectively su

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WANG, XING-YUAN, and MING-JUN WANG. "IMPULSIVE SYNCHRONIZATION OF HYPERCHAOTIC LÜ SYSTEM." International Journal of Modern Physics B 25, no. 27 (2011): 3671–78. http://dx.doi.org/10.1142/s0217979211100862.

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In this paper, the impulsive synchronization of hyperchaotic Lü systems is discussed. The sufficient conditions on feedback strength and impulsive interval are established to guarantee the synchronization. The method is proved true by Lyapunov stability theory. In addition, a scheme of impulsive synchronization via transmitting single signal is presented. Numerical simulations show the effectiveness of the methods.

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SHAGHAGHI, M., M. H. KAHAEI, and J. POSHTAN. "RESONANCE-BASED VIBRATION SIGNAL DENOISING USING WAVELET PACKET DECOMPOSITION." Fluctuation and Noise Letters 07, no. 03 (2007): L257—L262. http://dx.doi.org/10.1142/s021947750700391x.

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This paper presents a new on-line technique for denoising impulsive vibration signals in noisy environments using Wavelet Packets. The proposed algorithm is based on localizing the frequency subbands of the resonances embedded in impulsive vibration signals. The performance of the algorithm is evaluated in denoising real vibration signals measured from faulty bearings. The results compared to the theoretical values and those obtained by the HFD algorithm show the effectiveness of the proposed algorithm while the computational cost reduces to half.

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Kim, Namyong, Hyung-Gi Byun, Young-Hwan You, and Kihyeon Kwon. "Blind signal processing for impulsive noise channels." Journal of Communications and Networks 14, no. 1 (2012): 27–33. http://dx.doi.org/10.1109/jcn.2012.6184548.

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Flamme, Gregory, William J. Murphy, Chucri A. Kardous, and David C. Byrne. "Impulsive exposures from ceremonial and signal cannons." Journal of the Acoustical Society of America 145, no. 3 (2019): 1815. http://dx.doi.org/10.1121/1.5101634.

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Rao*, G. Manmadha, Raidu Babu D.N, Krishna Kanth P.S.L, Vinay B., and Nikhil V. "Reduction of Impulsive Noise from Speech and Audio Signals by using Sd-Rom Algorithm." International Journal of Recent Technology and Engineering 10, no. 1 (2021): 265–68. http://dx.doi.org/10.35940/ijrte.a5943.0510121.

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Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal qualit

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G.Manmadha, Rao, Raidu Babu D.N, Krishna Kanth P.S.L, B.Vinay, and V.Nikhil. "Reduction of Impulsive Noise from Speech and Audio Signals by using Sd-Rom Algorithm." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 1 (2021): 265–68. https://doi.org/10.35940/ijrte.A5943.0510121.

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Abstract:

Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal

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An, Chunlian, Guyue Yang, Liangliang Tian, Jing Song, and Yi Wang. "DOA Estimation for Noncircular Signals under Strong Impulsive Noise." Mathematical Problems in Engineering 2022 (August 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/6909666.

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Direction of arrival (DOA) estimation under impulsive noise has been an important research area. Most present methods are based on the fractional lower order statistics, while the computation load is heavy, and the estimation property degrades when the noise impact is strong. To get around this conundrum, a novel solution is presented, where the noncircular signals are introduced for modelling, a filtering preprocessing method is introduced to eliminate the impulsive noise, and a matrix reconstruction method is presented to smooth the residual noise. Firstly, the filtering preprocessing method

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BARRABÈS, C., and P. A. HOGAN. "DETECTION OF IMPULSIVE LIGHT-LIKE SIGNALS IN GENERAL RELATIVITY." International Journal of Modern Physics D 10, no. 05 (2001): 711–21. http://dx.doi.org/10.1142/s0218271801001098.

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The principal purpose of this paper is to study the effect of an impulsive light-like signal on neighbouring test particles. Such a signal can in general be unambiguously decomposed into a light-like shell of null matter and an impulsive gravitational wave. Our results are: (a) If there is anisotropic stress in the light-like shell then test particles initially moving in the signal front are displaced out of this 2-surface after encountering the signal; (b) For a light-like shell with no anisotropic stress accompanying a gravitational wave the effect of the signal on test particles moving in t

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Zhu, Yanli, and Yuangong Sun. "Stabilization of Discrete-Time Planar Switched Linear Systems with Impulse." Discrete Dynamics in Nature and Society 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/134296.

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We study the stabilization problem of discrete-time planar switched linear systems with impulse. When all subsystems are controllable, based on an explicit estimation on the state transition matrix, we establish a sufficient condition such that the switched impulsive system is stabilizable under arbitrary switching signal with given switching frequency. When there exists at least one uncontrollable subsystem, a sufficient condition is also given to guarantee the stabilization of the switched impulsive system under appropriate switching signal.

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Hwang, Sung Wook, Jin Hyuk Han, Ki Duck Sung, and Sang Kwon Lee. "The Study of Tire Pattern Noise by Using Wavelet Transform." Applied Mechanics and Materials 105-107 (September 2011): 267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.267.

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Tire noise is classified by pattern noise and road noise in a vehicle. Especially pattern noise has impulsive characteristics since it is generated by impacting of tire’s block on the road. Therefore, a special signal process is needed other than traditional Fourier Transform, because the characteristic of signal is varying with time. On the other hand, the pattern noise is a kind of non-stationary signal and is related to the impulsive train of pitch sequence of a block. In this paper, Wavelet Transform is applied to verify the impulse signal caused by impact of block and groove and to verify

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An, Chunlian, Guyue Yang, Peng Li, Dengmei Zhou, and Liangliang Tian. "Research on Direction Finding Method under Impulsive Noise Based on Nonuniform Linear Array." Journal of Sensors 2024 (February 1, 2024): 1–11. http://dx.doi.org/10.1155/2024/9936133.

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Direction of arrival (DOA) estimation under impulsive noise has always been an important research area in array signal processing. The traditional methods under impulsive noise mostly rely on prior parameters and have high computational complexity. Based on the filtering theory, we present an effective pretreatment filtering technology to cut out the impulse mixed in the array received data and employ the nonuniform linear array to improve the estimation performance further. First, according to the amplitude characteristics of impulse noise, the pretreatment filtering technology is proposed to

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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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S.Hallikar, Rohini, M. Uttarakumari, Padmaraju K, and Yashas D. "Modified Turbo and SDROM Method for Speech Processing for Cochlear Implants." International Journal of Engineering & Technology 7, no. 4.5 (2018): 179. http://dx.doi.org/10.14419/ijet.v7i4.5.20040.

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A performance comparison of Signal Dependent Rank Order Mean (SDROM) method of speech signal enhancement with a speech enhancement method which makes use of a Turbo combination and SDROM filter referred to as modified Turbo and SDROM technique is made in this paper. Normally, speech signals are used as inputs to a cochlear implant signal processing unit.Sounds are corrupted by different noises such as AWGN, Impulsive noise and babble. The results are evaluated in terms of enhancements evaluations done by basically three parameters namely correlation coefficient, log spectral distortion (LSD) a

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Leftah, Hussein Abdullah, and Husham Lateef Swadi. "PERFORMANCE EVALUATION OF SINGLE CARRIER FREQUENCY DOMAIN EQUILIZER (SC-FDE) OVER IMPULSIVE NOISE CHANNEL." Al-Qadisiyah Journal for Engineering Sciences 11, no. 2 (2019): 270–77. http://dx.doi.org/10.30772/qjes.v11i2.559.

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Impulsive noise is considered as one of the major source of disturbance in the state-of-the-art multicarrier (MC) communication systems. Therefore, several techniques are being constantly proposed to eliminate the effect of such noise. In this work, a time domain matrix interleaved is compiled with a single carrier frequency domain equalizer (SC-FDE) is proposed to reduce the deleterious effects of impulsive noise. A mathematical model for the proposed scheme is also presented in this paper. Simulation results show that the proposed technique superiors the interleaved multicarrier system where

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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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Zhou, Qing, Xia Yang, Yong Jian Mao, and Hong Jian Deng. "Wavelet Analysis of Transient Signals of Structural Responses to Impulsive Loads." Advanced Materials Research 452-453 (January 2012): 1522–26. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.1522.

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Based on a brief introduction to elementary theory of wavelet analysis, the disadvantages of wavelet method and wavelet packet method are given. A new wavelet analysis procedure is proposed for decomposition and reconstruction of measured transient signals. This method can search by specific frequency paths, then overcomes the shortcomings of uniform frequency intervals in pure wavelet analyses and of large computational costs in common wavelet packet analyses. As examples, a signal-noise separation and a weak signal extraction are given to show the effectiveness of the new procedure.

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