Relevant bibliographies by topics / Impulsive signal

Academic literature on the topic 'Impulsive signal'

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Published: 1 April 2023

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Journal articles on the topic "Impulsive signal"

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Logan, Gordon D., Russell J. Schachar, and Rosemary Tannock. "Impulsivity and Inhibitory Control." Psychological Science 8, no. 1 (January 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 signal was determined by a tracking procedure designed to allow subjects to inhibit on 50% of the stop-signal trials Reaction time to the go signal did not vary with impulsivity, but estimated stop-signal reaction time was longer in more impulsive subjects, consistent with the hypothesis and consistent with results from populations with pathological problems with impulse control
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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 effectively, the denoised signal could reflect the real working conditions of the diesel engine.
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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) is proposed to extract the impulsive signal and enhance the impulsiveness of the bearing fault signal, and the envelope analysis is applied to reveal the fault-related signatures. The impulsive extraction performance of the proposed CTH is compared with that of finite impulse response filter (FIR) by analyzing the simulated bearing fault signals, and the result indicates that the CTH is more effective in extracting impulsive signals. The method is evaluated using real fault signals from defective bearings with early rolling element fault and early fault located on the outer race. The results show that the proposed method is able to enhance the impulsiveness of early bearing fault signals.
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BARRABÈS, C., and P. A. HOGAN. "IMPULSIVE LIGHT-LIKE SIGNALS." International Journal of Modern Physics A 17, no. 20 (August 10, 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 to the speed of light. Several examples of impulsive light–like signals were presented, in particular those produced by recoil effects5 and by the Aichelburg–Sexl boost of an isolated gravitating multipole source6. The detection of these signals was also discussed7.
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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 diagnosis of faults within laboratory gearbox.
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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 denoised signal is then analysed by a proposed modified morphological analysis (MMA). The MMA analysis introduces a new morphological operator which is based on Modified-Different (DIF) filter to include only fault relevant impulsive characteristics of the vibration signal. To improve further performance of the methodology the length of the structure element (SE) used in MMA is optimized using a particle swarm optimization- (PSO-) based kurtosis criterion. The results of simulated and real vibration signal show that the integrated NLM with MMA method as well as the MMA method alone yields superior performance in extracting impulsive characteristics of vibrations signals, especially for signal with high level of noise or presence of other sources masking the fault.
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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 (August 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 synchronization of SBNs with impulsive effects. Finally, two illustrative examples are worked out to show the effectiveness of the obtained results.
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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 (September 13, 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 estimated, and algorithm. This method use an adaptive threshold and soft decision to estimating and canceling the impulsive noises. Then, by using ML detection, an approximation of signal is obtained. As this impulsive noise detection , comparison - decision and ML detection loop continues, we get better approximates of the signal. The algorithm is analyzed and verified by computer simulations. A comparison between the performance of the different systems is presented and discussed. The Simulation results confirm the robustness of performance of the proposed algorithm.
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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 suppress burst impulse noise.
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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 (August 1, 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 and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR computation. Significant improvement in SNR is achieved after removal of noise.</em>
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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 parameter estimation, signal detector design and goodness-of-fit tests. Significant contributions are made in the latter through the introduction of characteristic function based test that uses the parametric bootstrap. A modification of this test is then made to define a test of the level of impulsive behaviour - again the parametric bootstrap is employed to maintain levels of significance for this and another test based on testing the alpha-S parameter values. The performance of these tests is examined under simulated and two sources of real, impulsive data, namely human heart rate variability and fluctuations in stock prices. Once the appropriateness of the model assumption has been verified, the final, signal detection process may take place. Detectors based on the locally optimum criterion and approximations to it are described and compared to their rank-based counterparts. Results are presented that suggest compelling arguments based on performance and computational complexity for the consideration of rank-based techniques.Keywords: Impulsive behaviour, alpha-stable distribution, stable laws, Gaussianity testing, parameter estimation, goodness-of-fit, parametric bootstrap, signal detection, locally optimum detectors, rank-based detectors.
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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 parameter estimation, signal detector design and goodness-of-fit tests. Significant contributions are made in the latter through the introduction of characteristic function based test that uses the parametric bootstrap. A modification of this test is then made to define a test of the level of impulsive behaviour - again the parametric bootstrap is employed to maintain levels of significance for this and another test based on testing the alpha-S parameter values. The performance of these tests is examined under simulated and two sources of real, impulsive data, namely human heart rate variability and fluctuations in stock prices. Once the appropriateness of the model assumption has been verified, the final, signal detection process may take place. Detectors based on the locally optimum criterion and approximations to it are described and compared to their rank-based counterparts. Results are presented that suggest compelling arguments based on performance and computational complexity for the consideration of rank-based techniques.Keywords: Impulsive behaviour, alpha-stable distribution, stable laws, Gaussianity testing, parameter estimation, goodness-of-fit, parametric bootstrap, signal detection, locally optimum detectors, rank-based detectors.
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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 this advanced algorithm, along with the principles of the commonly used fast independent component analysis (fastICA) based on fixed-point algorithm are discussed. To verify that this method is useful under industrial use environment to remove the impulsive noises from digital BPSK modulated signals, an observation signal mixed with additive impulsive noise is generated and separated by fastICA method. And in the last part of the thesis, the fastICA algorithm is applied to the GPS receiver modeled in the SoftGNSS project and verified to be effective in industrial applications. The results have been analyzed.
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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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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 nature, has also become more prevalent with the widespread use of electronic devices. In this thesis, we took measurements of man-made impulsive noise in the broadcast digital television bands to measure its presence, power, and spatial correlation. The effects of impulsive noise on the detection performance of an energy detector were analyzed. Lastly, a wideband RF receiver was designed, built, and tested on the Virginia Tech campus, which would be well suited both to spectrum sensing and taking measurements of impulsive noise.
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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 (LTF) and the lattice-ladder filer (LLF) structures. Combining the linear adaptive filtering theory and robust statistics estimation techniques, two new cost functions, called the mean M -estimate error (MME) and the sum of weighted M -estimate error (SWME), are proposed. They can be taken as the generalizations of the well-known mean squared error (MSE) and the sum of weighted squares error (SWSE) cost functions when the involving signals are Gaussian. Based on the SWME cost function, the resulting optimal weight vector is governed by an M-estimate normal equation and a recursive least M -estimate (RLM) algorithm is derived. The RLM algorithm preserves the fast initial convergence, lower steady-state 11 Abstract derived. The RLM algorithm preserves the fast initial convergence, lower steady-state error and the robustness to the sudden system change of the recursive least squares (RLS) algorithm under Gaussian noise alone. Meanwhile, it has the ability to suppress impulse noise both in the desired and input signals. In addition, using the MME cost function, stochastic gradient based adaptive algorithms, named the least mean Mestimate (LMM) and its transform dOlnain version, the transform domain least mean Mestimate (TLMM) algorithms have been developed. The LMM and TLMM algorithms can be taken as the generalizations of the least-mean square (LMS) and transform domain normalized LMS (TLMS) algorithms, respectively. These two robust algorithms give similar performance as the LMS and TLMS algorithms under Gaussian noise alone and are able to suppress impulse noise appearing in the desired and input signals. It is noted that the performance and the computational complexity of the RLM, LMM and TLMM algorithms have a close relationship with the estimate of the threshold parameters for the M-estimate functions. A robust and effective recursive method has been suggested in this dissertation to estimate the variance of the estimation error and the required threshold parameters with certain confidence to suppress the impulsive noise. The mean and mean square convergence performances of the RLM and the LMM algorithms are evaluated, respectively, when the impulse noise is assumed to be contaminated Gaussian distribution. Motivated by the desirable features of the lattice-ladder filter, a new robust adaptive gradient lattice-ladder filtering algorithm is developed by minimizing an MME cost function together with an embedded robust impulse suppressing process, especially for impulses appearing in the filter input. The resultant robust gradient lattice-robust 111 Abstract normalized LMS (RGAL-RNLMS) algorithm perfonns comparably to the conventional GAL-NLMS algorithm under Gaussian noise alone; meanwhile, it has the capability of suppressing the adverse effects due to impulses in the input and the desired signals. The additional computational complexity compared to the GAL-NLMS algorithm is of O(Nw log Nw) + O(NfI log N,J . Extensive computer simulation studies are undertaken to evaluate the performance of the RLM, LMM, TLMM and the RGAL-RNLMS algorithms under the additive noise with either a contaminated Gaussian distribution or the symmetric alpha-stable (SaS ) distributions. The results substantiate the analysis and demonstrate the effectiveness and robustness of the developed robust adaptive filtering algorithms in suppressing impulsive noise both in the input and the desired signals of the adaptive filter. In conclusion, the proposed approaches in this dissertation present an attempt for developing robust adaptive filtering algorithms in impulsive noise environments and can be viewed as an extension of the linear adaptive filter theory. They may become reasonable and effective tools to solve adaptive filtering problems in a non-Gaussian environment in practice. IV
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Electrical and Electronic Engineering
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Doctor of Philosophy
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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 improve performance. In electrical systems impulsive noise is generated externally to the receiver while thermal Gaussian noise is generated internally by the receiver electronics, the resultant noise is an additive combination of these two independent sources. A characteristic function domain estimator for the parameters of the resultant distribution is developed for the case when the impulsive noise is modeled by a symmetric alpha stable distribution. Having concentrated on validation and parameter estimation for the noise model, some problems in signal detection and estimation are considered. Detection of the number of sources impinging on an array is an important first. step in many array processing problems for which the development of optimal methods can be complicated even in the Gaussian case. Here, a multiple hypothesis test for the equality of the eigenvalues of the sample array covariance is proposed.The nonparametric bootstrap is used to estimate the distributions of the test statistics removing the assumption of Gaussianity and offering improved performance for heavy tailed observations. Finally, some robust estimators are proposed for estimating parametric signals in additive noise. These are based on M-estimators but implicitly incorporate an estimate of the noise distribution. enabling the estimator to adapt to the unknown noise distribution. Two estimators are developed, one uses a nonparametric kernel density estimator while the other models the score function of the noise distribution with a linear combination of basis functions.
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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 improve performance. In electrical systems impulsive noise is generated externally to the receiver while thermal Gaussian noise is generated internally by the receiver electronics, the resultant noise is an additive combination of these two independent sources. A characteristic function domain estimator for the parameters of the resultant distribution is developed for the case when the impulsive noise is modeled by a symmetric alpha stable distribution. Having concentrated on validation and parameter estimation for the noise model, some problems in signal detection and estimation are considered. Detection of the number of sources impinging on an array is an important first. step in many array processing problems for which the development of optimal methods can be complicated even in the Gaussian case. Here, a multiple hypothesis test for the equality of the eigenvalues of the sample array covariance is proposed.
The nonparametric bootstrap is used to estimate the distributions of the test statistics removing the assumption of Gaussianity and offering improved performance for heavy tailed observations. Finally, some robust estimators are proposed for estimating parametric signals in additive noise. These are based on M-estimators but implicitly incorporate an estimate of the noise distribution. enabling the estimator to adapt to the unknown noise distribution. Two estimators are developed, one uses a nonparametric kernel density estimator while the other models the score function of the noise distribution with a linear combination of basis functions.
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Books on the topic "Impulsive signal"

1

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

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Gersbacher, Ursula. Aussendienst und Verkauf: Automatische Zielensprache - unbewusste Signale erkennen - positive Impulse senden. München: 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. Gaithersburg, MD: 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. Warszawa: Institute of Geophysics, Polish Academy of Sciences, 2005.

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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, Mass: Woods Hole Oceanographic Institution, 1991.

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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. [United States]: IEEE, 2008.

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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. Piscataway, NJ: IEEE, 2006.

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LebensZeichen von Gott - für uns: Analysen und Impulse für eine zeitgemässe Sakramentenpastoral. Berlin: Lit, 2008.

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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. Piscataway, NJ: IEEE, 2004.

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Effect of signal jitter on the spectrum of rotor impulsive noise. Hampton, Va: 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, 294–313. Wiesbaden: 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, 171–85. Singapore: 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, 377–80. Singapore: 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, 261–68. Singapore: 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, 257–66. Berlin, Heidelberg: 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, 274–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_23.

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Sundararajan, D. "Infinite Impulse Response Filters." In Digital Signal Processing, 251–83. Cham: 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, 189–249. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_6.

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Mulgrew, Bernard, Peter Grant, and John Thompson. "Infinite impulse response digital filters." In Digital Signal Processing, 126–49. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-14944-5_5.

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Mulgrew, Bernard, Peter Grant, and John Thompson. "Finite impulse response digital filters." In Digital Signal Processing, 150–75. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-14944-5_6.

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Conference papers on the topic "Impulsive signal"

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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. This technique is applied to the diagnosis of faults within internal combustion engine and industrial gear.
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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. Trieste, Italy: 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. Trieste, Italy: 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. Singapore: 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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Xin Yibin and Minoru Okada. "Impulsive noise canceler for OFDM." In 2009 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2009). IEEE, 2009. http://dx.doi.org/10.1109/ispacs.2009.5383802.

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Ben Atitallah, Ismail, Abla Kammoun, Mohamed-Slim Alouini, and Tareq Y. Al-Naffouri. "Robust adaptive subspace detection in impulsive noise." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551750.

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Young, Jeremy, Anders Host-Madsen, and Eva-Marie Nosal. "Impulsive source separation with application to sperm whale clicks." In 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE). IEEE, 2013. http://dx.doi.org/10.1109/dsp-spe.2013.6642581.

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Reports on the topic "Impulsive signal"

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

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

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Zabin, Serena M. Signal Processing in Impulsive Electromagnetic Interference. Fort Belvoir, VA: Defense Technical Information Center, June 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), June 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. Fort Belvoir, VA: Defense Technical Information Center, June 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. Fort Belvoir, VA: Defense Technical Information Center, April 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. Gaithersburg, MD: National Bureau of Standards, 1991. http://dx.doi.org/10.6028/nist.tn.1286.

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Nguyen, Lam. Signal Processing Technique to Remove Signature Distortion in ARL Synchronous Impulse Reconstruction (SIRE) Ultra-Wideband (UWB) Radar. Fort Belvoir, VA: Defense Technical Information Center, March 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. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada496571.

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Read, Matthew. Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions. Reserve Bank of Australia, January 2023. http://dx.doi.org/10.47688/rdp2022-09.

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Existing estimates of the macroeconomic effects of Australian monetary policy tend to be based on strong, potentially contentious, assumptions. I estimate these effects under weaker assumptions. Specifically, I estimate a structural vector autoregression identified using a variety of sign restrictions, including restrictions on impulse responses to a monetary policy shock, the monetary policy reaction function, and the relationship between the monetary policy shock and a proxy for this shock. I use an approach to Bayesian inference that accounts for the problem of posterior sensitivity to the choice of prior that arises in this setting, which turns out to be important. Some sets of identifying restrictions are not particularly informative about the effects of monetary policy. However, combining the restrictions allows us to draw some useful inferences. There is robust evidence that an increase in the cash rate lowers output and consumer prices at horizons beyond a year or so. The results are consistent with the macroeconomic effects of a 100 basis point increase in the cash rate lying towards the upper end of the range of existing estimates.
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