Relevant bibliographies by topics / Impulsive signal

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Impulsive signal'

Author: Grafiati
Published: 1 April 2023
Last updated: 25 July 2025

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Journal articles on the topic "Impulsive signal"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Impulsive signal"

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Brown, Christopher L. "Goodness-of-fit and detection problems in impulsive interference." Thesis, Curtin University, 2000. http://hdl.handle.net/20.500.11937/40.

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After defining the structure to a signal detection scheme, this dissertation describes and addresses some of the unresolved issues associated with its use when the interference encountered is impulsive. The alpha-stable (alpha-S) family of distributions is used as a model of this interference due to its physical interpretation and its general form. Despite its attractive features, difficulties arise in using this distribution due to, amongst other things, the lack of a general closed form expression for its probability density function. Relevant to the detection scheme used, this affects param
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Kannan, Balakrishnan. "Spatial signal processing for beamforming in impulsive noise using Bayesian principles." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621044.

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Brown, Christopher L. "Goodness-of-fit and detection problems in impulsive interference." Curtin University of Technology, School of Electrical and Computer Engineering, 2000. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=9750.

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After defining the structure to a signal detection scheme, this dissertation describes and addresses some of the unresolved issues associated with its use when the interference encountered is impulsive. The alpha-stable (alpha-S) family of distributions is used as a model of this interference due to its physical interpretation and its general form. Despite its attractive features, difficulties arise in using this distribution due to, amongst other things, the lack of a general closed form expression for its probability density function. Relevant to the detection scheme used, this affects param
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Zou, Yuexian. "Robust statistics based adaptive filtering algorithms for impulsive noise suppression." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22823736.

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cui, qiaofeng. "Suppression of impulsive noise in wireless communication." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-18270.

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This report intends to verify the possibility that the FastICA algorithm could be applied to the GPS system to eliminate the impulsive noise from the receiver end. As the impulsive noise is so unpredictable in its pattern and of great energy level to swallow the signal we need, traditional signal selection methods exhibit no much use in dealing with this problem. Blind Source Separation seems to be a good way to solve this, but most of the other BSS algorithms beside FastICA showed more or less degrees of dependency on the pattern of the noise. In this thesis, the basic mathematic modelling of
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DeJarnette, Hunter Archer. "Measuring Noise in the VHF Band and Its Effect on Low SNR Signal Detection." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/35293.

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With the increasing demand for access to the crowded radio frequency spectrum, cognitive radios have been suggested as one solution. Cognitive radios would be frequency agile and able to sense their radio environment and opportunistically use empty spectrum. Spectrum sensing, monitoring a given band of spectrum to see if it is occupied, is an essential part of a cognitive radio. The preferred method of spectrum sensing is the energy detector, which does not require any a priori information about the signal to be detected and is computationally simple to implement. Man-made noise, impulsive in
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Wen, Yu, and 文宇. "Robust statistics based subspace tracking in impulsive noise environment: algorithms and applications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B44570181.

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Zou, Yuexian, and 鄒月嫻. "Robust statistics based adaptive filtering algorithms for impulsive noise suppression." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B22823736.

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(Uncorrected OCR) Abstract Abstract of thesis entitled Robust Statistics Based Adaptive Filtering Algorithms For Impulsive Noise Suppression Submitted by Yuexian Zou for the degree of Doctor of Philosophy at The University of Hong Kong in May 2000 The behavior of an adaptive filter is inherently decided by how its estimation error and the cost function are formulated under certain assumption of the involving signal statistics. This dissertation is concerned with the development of robust adaptive filtering in an impulsive noise environment based on the linear transversal filter (L
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Brcic, Ramon. "Some aspects of signal processing in heavy tailed noise." Thesis, Curtin University, 2002. http://hdl.handle.net/20.500.11937/323.

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This thesis addresses some problems that arise in signal processing when the noise is impulsive and follows a heavy tailed distribution. After reviewing several of the more well known heavy- tailed distributions the common problem of which of these hest models the observations is considered. To this end, a test is proposed for the symmetric alpha stable distribution. The test threshold is found using both asymptotic theory and parametric bootstrap resampling. In doing so, some modifications are proposed for Koutrouvelis' estimator of the symmetric alpha stable distributions parameters that imp
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Brcic, Ramon Francis. "Some aspects of signal processing in heavy tailed noise." Curtin University of Technology, Australian Telecommunications Research Institute, 2002. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14244.

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This thesis addresses some problems that arise in signal processing when the noise is impulsive and follows a heavy tailed distribution. After reviewing several of the more well known heavy- tailed distributions the common problem of which of these hest models the observations is considered. To this end, a test is proposed for the symmetric alpha stable distribution. The test threshold is found using both asymptotic theory and parametric bootstrap resampling. In doing so, some modifications are proposed for Koutrouvelis' estimator of the symmetric alpha stable distributions parameters that imp
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Books on the topic "Impulsive signal"

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Ambike, Sachin. Signal detection and filtering in the presence of alpha-Stable impulsive noise. National Library of Canada, 1993.

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2

Gersbacher, Ursula. Aussendienst und Verkauf: Automatische Zielensprache - unbewusste Signale erkennen - positive Impulse senden. Heyne, 1991.

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J, Evans D., United States. Occupational Safety and Health Administration, and Center for Manufacturing Engineering (U.S.), eds. Response of personal noise dosimeters to continuous and impulse-like signals. Manufacturing Engineering Laboratory, National Institute of Standards and Technology, 1991.

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Nowożyński, Krzysztof. New methods for parameterization and determination of transfer functions and impulse responses. Institute of Geophysics, Polish Academy of Sciences, 2005.

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International Conference on Ultrawideband and Ultrashort Impulse Signals (4th 2008 Sevastopolʹ ,Ukraine). 2008 4th International Conference on Ultrawideband and Ultrasho[r]t Impulse Signals: UWBUSIS 2008 : September 15-19, 2008, Sevastopol, Ukraine. IEEE, 2008.

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Duda, Timothy F. Smoothly modulated frequency-bounded impulse signals for tomography: By Timothy F. Duda and James F. Lynch. Woods Hole Oceanographic Institution, 1991.

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International Workshop on Ultrawideband and Ultrashort Impulse Signals (2nd 2004 Sevastpol, Ukraine). UWBUSIS 2004: 2004 Second International Workshop [on] Ultrawideband and Ultrashort Impulse Signals : September 19-22, 2004, Sevastopol, Ukraine. IEEE, 2004.

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UWBUSIS 2006 (2006 Sevastopolʹ, Ukraine). The third international conference, ultrawideband and ultrashort impulse signals: UWBUSIS 2006, September 19-22, 2004, Sevastopol, Ukraine. IEEE, 2006.

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Alyukov, Sergey. Approximation of piecewise linear and generalized functions. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2104876.

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The monograph is devoted to piecewise linear and generalized functions. They are widely used in various fields of research: in the theory of signal transmission and transformation, quantum field theory, control theory, problems of nonlinear dynamics, structural mechanics, semiconductor theory, economic applications, medicine, description of impulse effects and many others. When creating mathematical models, in some cases it is necessary to approximate these functions using analytical expressions, but not in the form of linear combinations, as in known methods, but in the form of attachments, c
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Effect of signal jitter on the spectrum of rotor impulsive noise. National Aeronautics and Space Administration, Langley Research Center, 1987.

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Book chapters on the topic "Impulsive signal"

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Vaseghi, Saeed V. "Impulsive Noise." In Advanced Signal Processing and Digital Noise Reduction. Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-92773-6_11.

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Smolka, Bogdan. "Efficient Technique of Impulsive Noise Detection and Replacement in Color Digital Images." In Sensor Networks and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4917-5_14.

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Zhang, Xiangyu, Jianqing Li, Zhipeng Cai, Shengyi Ma, Jian Zhang, and Chengyu Liu. "An Impulsive Noise Rejection Filter for Wearable ECG Signal Processing." In IFMBE Proceedings. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9038-7_71.

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Wan, Hongjie, and Haiyun Zhang. "Sparse Impulsive Noise Corrupted Compressed Signal Recovery Using Laplace Noise Density." In Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3863-6_29.

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Dybała, Jacek, and Radoslaw Zimroz. "Application of Empirical Mode Decomposition for Impulsive Signal Extraction to Detect Bearing Damage – Industrial Case Study." In Condition Monitoring of Machinery in Non-Stationary Operations. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28768-8_27.

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Li, Sen, Bin Lin, Yabo Ding, and Rongxi He. "Signal-Selective Time Difference of Arrival Estimation Based on Generalized Cyclic Correntropy in Impulsive Noise Environments." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_23.

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Esakkirajan, S., T. Veerakumar, and Badri N. Subudhi. "Infinite Impulse Response Filter." In Digital Signal Processing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6752-0_8.

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Sundararajan, D. "Infinite Impulse Response Filters." In Digital Signal Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_7.

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Sundararajan, D. "Finite Impulse Response Filters." In Digital Signal Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_6.

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Sundararajan, Dr D. "Infinite Impulse Response Filters." In Digital Signal Processing. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-56740-7_8.

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Conference papers on the topic "Impulsive signal"

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Hashimoto, Taro, Kenji Yamauchi, Muneo Maeda, Hisao Maruyama, and Hiroshi Higuchi. "Polarity Superposition Method of Signal Detection in Impulsive Noise." In 1996_EMC-Europe_Roma. IEEE, 1996. https://doi.org/10.23919/emc.1996.10783914.

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Li, Weizhe, Xiao Han, Zheming Zhang, and Jingwei Yin. "Robust Underwater Acoustic Channel Estimation in Impulsive Noise Environment." In 2024 7th International Conference on Information Communication and Signal Processing (ICICSP). IEEE, 2024. https://doi.org/10.1109/icicsp62589.2024.10809334.

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Yang, Yibang, Yuyang Chen, Yongjian Huang, and Weichao Xu. "Bi-Channel Signal Detection Under Impulsive Noise Based on Laplacian Kernel Correlator." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11064624.

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Lee, Sang-Kwon, and Paul R. White. "Fault Identification for Rotating Machinery Using Adaptive Signal Processing and Time-Frequency Analysis." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4236.

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Abstract Impulsive sound and vibration signals in rotating machinery are often associated with faults which lead to due to irregular impacting. Thus these impulsive sound and 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 sounds 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. Th
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Bucci, Andres, Alfonso Perez, and Jordi Bonada. "Non-impulsive signal deconvolution for computation of violin impulse responses." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6287938.

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Takehara, Ryo, Arata Kawamura, and Youji Iiguni. "Impulsive noise suppression using interpolated zero phase signal." In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017. http://dx.doi.org/10.1109/apsipa.2017.8282249.

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Ait-Allal, Dalal, Cedric Dumez-Viou, Rodolphe Weber, G. Desvignes, I. Cognard, and G. Theureau. "RFI mitigation at Nancay Observatory: Impulsive Signal Processing." In Wide Field Astronomy & Technology for the Square Kilometre Array. Sissa Medialab, 2011. http://dx.doi.org/10.22323/1.132.0032.

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Ait-Allal, Dalal, Rodolphe Weber, and Cedric Dumez-Viou. "RFI mitigation at Nancay Observatory: Impulsive Signal Processing." In RFI mitigation workshop. Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0021.

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Veeksha, B. R., and Sahana P Suvarna. "Implementation of Impulsive Sound Localization." In Second International Conference on Signal Processing, Image Processing and VLSI. Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-6200-5_o-31.

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Arslan, Yuksel, and Burak Guldogan. "Impulsive sound detection and gunshot recognition." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7129872.

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Reports on the topic "Impulsive signal"

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Zabin, Serena M. Signal Processing in Impulsive Electromagnetic Interference. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada252385.

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Zabin, Serena M. Signal Processing in Impulsive Electromagnetic Interference. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada260755.

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Zabin, Serena M. Signal Processing in Impulsive Electromagnetic Interference. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada266425.

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Lehman, S. Signal Preconditioning to Minimize Impulse Response Contribution. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1812571.

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Duda, Timothy F., and James F. Lynch. Smoothly Modulated Frequency-Bounded Impulse Signals for Tomography. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada239103.

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Litz, Marc S., Daniel C. Judy, Doug M. Weidenheimer, and Bruce Jenkins. Compact Impulse Source for Wideband Signal Calibrations and General Laboratory Use. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada377611.

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Burnett, Ed, Daniel R. Flynn, V. Nedzelnitsky, and David J. Evans. Response of personal noise dosimeters to continuous and impulse-like signals. National Bureau of Standards, 1991. http://dx.doi.org/10.6028/nist.tn.1286.

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Almuzara, Martín, and Víctor Sancibrián. Micro Responses to Macro Shocks. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1090.

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We study estimation and inference in panel data regression models when the regressors of interest are macro shocks, which speaks to a large empirical literature that targets impulse responses via local projections. Our results hold under general dynamics and are uniformly valid over the degree of signal-to-noise of aggregate shocks. We show that the regression scores feature strong cross-sectional dependence and a known autocorrelation structure induced only by leads of the regressor. In general, including lags as controls and then clustering over the cross-section leads to simple, robust infe
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Nguyen, Lam. Signal Processing Technique to Remove Signature Distortion in ARL Synchronous Impulse Reconstruction (SIRE) Ultra-Wideband (UWB) Radar. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada478887.

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Nguyen, Lam. Signal and Image Processing Algorithms for the U.S. Army Research Laboratory Ultra-wideband (UWB) Synchronous Impulse Reconstruction (SIRE) Radar. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada496571.

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