Gotowe bibliografie tematyczne / Fluctuation signal

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Gotowa bibliografia na temat „Fluctuation signal”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Fluctuation signal"

T. Khan, M. A. Khan, A. Kabir, M. Atif, and D. Ahmad. "LOCAL MESHLESS ALGORITHM FOR TOTAL VARIATION-BASED MODEL FOR SIGNAL RESTORATION HAVING ADDITIVE NOISE." Pakistan Journal of Science 76, no. 03 (2024): 492–501. https://doi.org/10.57041/vol76iss03pp492-501.

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A noisy signal converts the signal to another signal containing fluctuation called signal fluctuation. This fluctuation in signal is a common factor in signal processing. In this article, we introduce a Local Meshless Collocation Method (LMCM) for the numerical solution of the Euler- Lagrange Partial Differential Equation (EL-PDE) associated with the Total Variation (TV)-based model for removing additive noise from the given data signals. This method uses the mul-ti-quadric Radial Basis Function (MQ-RBF) as the basis function. These features will eliminate the fluctuations from the given noisy

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Kato, Taro, Takuya Kitamura, Fumiya Maehara, et al. "Calculation of 1/f Fluctuation from Sound Signal and Comfort Evaluation." Applied Sciences 12, no. 19 (2022): 9425. http://dx.doi.org/10.3390/app12199425.

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Providing a comfortable sound for users is an important factor for high-value products. Therefore, many studies have investigated pleasant sound levels for developing and manufacturing new products. Notably, sounds containing 1/f fluctuations provide a relaxing effect in humans. There are many studies on the influence of sound signals, including 1/f fluctuations; however, the verification of fluctuations, including sound signals, has not been performed. In this study on fluctuation, the discrete Fourier transform was used to directly calculate the time of the sound signal. We evaluated the dur

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Syahrial, Syahrial, Melinda Melinda, Junidar Junidar, Safrizal Razali, and Zulhelmi Zulhelmi. "Application of the Savitzky-Golay filter in multi-spectral signal processing." Sriwijaya Electrical and Computer Engineering Journal 1, no. 1 (2024): 9–19. http://dx.doi.org/10.62420/selco.v1i1.5.

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Multi-spectral signals are the result of the interaction between electromagnetic energy and the test material, which is then displayed by the signal fluctuation pattern of the test material. Signal fluctuations are inaccuracies in the peak amplitude of a signal caused by noise in the data. This fluctuation pattern reflects the properties of the test material, especially in this case H2O. To overcome this problem, it is necessary to use the right filter to smooth the signal and reduce the noise in the data so that the fluctuation pattern obtained is clearer and more accurate. This research invo

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Meng, Tao, Huanchang Wei, Feng Gao, and Huichao Shi. "Measurement of Flow Fluctuation in the Flow Standard Facility Based on Singular Value Decomposition." Sensors 21, no. 20 (2021): 6850. http://dx.doi.org/10.3390/s21206850.

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In order to accurately evaluate the flow stability of the flow standard facility, the flow fluctuation in the standard facility needs to be accurately measured. However, the flow fluctuation signal is always superimposed with the fluctuation signal of the measuring flowmeter or measurement system (mainly noise), which leads to inaccurate measurement of the flow fluctuation and even an unreliable evaluation result of the flow stability. In addition, when there are multiple fluctuation sources, flow fluctuations with different frequencies are superimposed together, which is extremely unfavorable

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Gong, Jiangkun, Jun Yan, Deren Li, et al. "Measurement and Analysis of Radar Signals Modulated by the Respiration Movement of Birds." Applied Sciences 12, no. 16 (2022): 8101. http://dx.doi.org/10.3390/app12168101.

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Once, bird respiration was thought to be responsible for the 10 dB-level fluctuations in the radar signals of birds. Although, recently, many researchers provide evidence against this, there are almost no quantification measurements of the contribution of respiration to bird signals in microwave anechoic chambers. Here, we first measured the radar signals modulated by the respiration of birds in a microwave anechoic chamber. Theoretically, the simulated signal fluctuation caused by the respiration of a 1 kg standard avian target (SAT) duck is approximately 1.2 dB based on the water sphere mode

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Sims-Williams, D. B., and D. A. Luck. "Transfer function characterization of pressure signal tubes for the measurement of large amplitude pressure fluctuations." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 221, no. 6 (2007): 707–13. http://dx.doi.org/10.1243/0954406jmes582.

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The measurement of fluctuating pressures in gasses is relevant to a wide range of fluid flow applications. The frequency response of pressure measurement systems using remote transducers is usually limited by the response of the connecting tubing. For small fluctuation levels it is well established that the signal distortion can be corrected using a transfer function technique. This work extends the approach to include the more challenging issue of large amplitude fluctuations where the transfer function is strongly dependent on the fluctuation amplitude as well as frequency. The tubing transf

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Xiao, Hui Fang, Xiao Jun Zhou, and Yi Min Shao. "An Ensemble Dynamic Time Domain Averaging Method for Gear Fault Detection without Tachometer." Key Engineering Materials 572 (September 2013): 439–42. http://dx.doi.org/10.4028/www.scientific.net/kem.572.439.

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Time Domain Averaging (TDA) has been widely used for fault detection. However, it cannot reveal signal characteristics accurately in conditions of speed fluctuation and no tachometer. Empirical mode decomposition (EMD) helps to extract physically meaningful components from the singles. Dynamic Time Warping (DTW) can solve inconsistence in signal lengths per rotation due to speed fluctuation. Utilizing the advantages of EMD, DTW and TDA, an ensemble dynamic-time domain averaging (ED-TDA) algorithm is proposed for gear fault detection without tachometer. First, the selected intrinsic mode functi

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Jia, Wang, Mingjun Diao, Lei Jiang, and Guibing Huang. "Time-Frequency Characteristics of Fluctuating Pressure on the Bottom of the Stilling Basin with Step-Down Floor Based on Hilbert–Huang Transform." Mathematical Problems in Engineering 2021 (September 6, 2021): 1–12. http://dx.doi.org/10.1155/2021/7246488.

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Fluctuating pressure is an important feature of the bottom of a stilling basin with step-down floor. To analyze the frequency domain characteristics and energy distribution of this fluctuating pressure, the Hilbert–Huang transform (HHT) method is used. First, empirical mode decomposition is performed on the pressure fluctuation signal to obtain a number of intrinsic mode functions (IMFs), and then the Hilbert transformation is performed on each IMF to obtain the Hilbert spectrum and marginal spectrum for characterizing the pressure fluctuation signal. The results show that the fluctuating pres

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Padmanabhan, Vardhini, Punitha Namadurai, and Ramakrishnan Swaminathan. "Analysis of Preterm Pregnancies using Empirical Mode Decomposition based Fractal Features." Current Directions in Biomedical Engineering 7, no. 2 (2021): 783–86. http://dx.doi.org/10.1515/cdbme-2021-2200.

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Abstract Preterm birth (gestational age < 37 weeks) is a serious pregnancy related complication that could lead to fetal morbidity and mortality. Monitoring the activity of uterus is considered to be crucial for the early diagnosis of preterm birth. Uterine Electromyography (uEMG) is a non-invasive technique that provides a quantitative measure of uterine activity from the abdominal surface. In this work, an attempt has been made to characterize preterm uEMG signals using Empirical Mode Decomposition based Detrended Fluctuation Analysis (EMD-DFA). Preterm signals with varied gestational age

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Dai, Weiying, Gopal Varma, Rachel Scheidegger, and David C. Alsop. "Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI." Journal of Cerebral Blood Flow & Metabolism 36, no. 3 (2015): 463–73. http://dx.doi.org/10.1177/0271678x15615339.

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Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) has been widely used to investigate spontaneous low-frequency signal fluctuations across brain resting state networks. However, BOLD only provides relative measures of signal fluctuations. Arterial Spin Labeling (ASL) MRI holds great potential for quantitative measurements of resting state network fluctuations. This study systematically quantified signal fluctuations of the large-scale resting state networks using ASL data from 20 healthy volunteers by separating them from global signal fluctuations and fluctuatio

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Rozprawy doktorskie na temat "Fluctuation signal"

De, Villiers Wernich. "Prediction and measurement of power line carrier signal attenuation and fluctuation." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52410.

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Thesis (MScEng)--University of Stellenbosch, 2001,<br>ENGLISH ABSTRACT: A frequency domain Power Line Carrier (PLC) simulation program, with the ability to simulate signal attenuation including the coupling equipment, was developed. This simulation program was put to the test against the independent program of Professor L.M. Wedepohl and against practical field measurements. The predictions of the two programs were in precise agreement for a wide range of input parameters. Results from the field tests and predictions also showed close agreement. Further investigations, applying the sim

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Alavifoumani, Elhamosadat. "Bladed Disk Crack Detection Through Advanced Analysis of Blade Passage Signals." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24170.

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Crack initiation and propagation in the bladed disks of aero-engines caused by high-cycle fatigue under cyclic loads could result in the breakdown of the engines if not detected at an early stage. Although a number of fault detection methods have been reported in the literature, it still remains very challenging to develop a reliable online technique to accurately diagnose defects in bladed disks. One of the main challenges is to characterize signals contaminated by noises. These noises caused by very dynamic engine operation environment. This work presents a new technique for engine bladed di

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Zimmermann, Robert. "How large spheres spin and move in turbulent flows." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00737746.

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Le but de ce travail de thèse est l'étude de la dynamique de sphères de grande taille dans un écoulement fortement turbulent. Pour ce faire, nous avons développé une nouvelle technique optique permettant de suivre la dynamique à 6 dimensions - position et orientation absolues - de plusieurs particules dans un écoulement complexe. Bien que la taille des particules soit comparable à l'échelle intégrale de l'écoulement, nous trouvons que sa dynamique de rotation et de translation est intermittente. De plus, nous observons que la translation et la rotation sont reliées par la force de Magnus. La r

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Le, Roch Alexandre. "Analyse de l’augmentation et de la fluctuation discrète du courant d’obscurité des imageurs CMOS dans les environnements radiatifs spatiaux et nucléaires." Thesis, Toulouse, ISAE, 2020. http://www.theses.fr/2020ESAE0018.

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Inspirés des technologies microélectroniques CMOS (Complementary Metal Oxide Semiconductor), les capteurs d’images CMOS sont largement utilisés dans de nombreuses applications grand public et prédominent sur le marché commercial des caméras intégrées. Au cours de la dernière décennie, de nombreuses avancées technologiques ont permis au capteur d’image CMOS d’atteindre d’excellentes performances ainsi qu’une faible consommation d’énergie. Par conséquent, ces imageurs deviennent des candidats essentiels pour un nombre croissant d’applications spatiales et nucléaires. Cependant, le comportement d

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Picard, Christophe. "ÉTUDE EXPÉRIMENTALE DE L'IDENTIFICATION DES SOURCES ACOUSTIQUES DANS LES JETS PAR L'ANALYSE DE LA FLUCTUATION DE PRESSION EN CHAMP PROCHE." Phd thesis, Université de Poitiers, 2001. http://tel.archives-ouvertes.fr/tel-00133829.

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Cette étude est consacrée à la possibilité d'identification des sources acoustiques (les structures cohérentes en particulier) dans la zone de mélange de jets turbulents en utilisant la Décomposition Orthogonales aux Valeurs Propres (POD) appliquée aux fluctuations de pression en champ proche. Lors d'une première expérience, on mesure le champ de pression proche d'un jet transsonique et d'un jet supersonique. Dans les deux cas, les deux premiers modes POD, qui à eux seuls captent l'essentiel de l'organisation spatiale et spectrale, possèdent des comportements similaires à ceux observés dans le

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Silva, Carlos Alexandre Moreira da 1984. "Aplicação da metodologia de analise espectral Gaussiana para monitorar e controlar a defluidização em processo de recobrimento de particulas." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267112.

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Orientadores: Osvaldir Pereira Taranto, Maria Regina Parise<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica<br>Made available in DSpace on 2018-08-15T00:14:01Z (GMT). No. of bitstreams: 1 Silva_CarlosAlexandreMoreirada_M.pdf: 7935958 bytes, checksum: a7eaf2f609aaa80966fa3a763933b3cf (MD5) Previous issue date: 2009<br>Resumo:A operação de fluidização tem sido muito utilizada em inúmeros processos industriais nos setores químicos, alimentício e farmacêutico em função das suas características vantajosas, que possibilitam um contato bastante efetivo

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Verrier, Isabelle. "Influence de certains paramètres sur la propagation lumineuse dans les fibres optiques : fluctuations d'intensité en sortie de fibre multimodale." Saint-Etienne, 1988. http://www.theses.fr/1988STET4008.

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L'étude de flux lumineux lors d'un couplage fibre-fibre a permis d'évaluer, en lumière incohérente et cohérente, l'énergie couplée, les fluctuations et le rapport signal sur bruit. Ce travail a amené alors à considérer les variations d'intensité en sortie de fibre sous influence d'une courbure et de modéliser les répartitions de puissance lumineuse en fonction de cette contrainte

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El, Gemayel Tarek. "Feasibility of Using Electrical Network Frequency Fluctuations to Perform Forensic Digital Audio Authentication." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24383.

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Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new technology intended to perform forensic digital audio authentication. The objective of this thesis is to implement and design a range of programs and algorithms for capturing and extracting ENF signals. The developed C-program combined with a probe can be used to build the reference database. Our implementation of the Short-Time Fourier Transform method is intended for the ENF extraction of longer signals while our novel proposed use of the Autoregressive param

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Gustafson, Nathaniel Lee. "A Confidence-Prioritization Approach to Data Processing in Noisy Data Sets and Resulting Estimation Models for Predicting Streamflow Diel Signals in the Pacific Northwest." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3294.

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Streams in small watersheds are often known to exhibit diel fluctuations, in which streamflow oscillates on a 24-hour cycle. Streamflow diel fluctuations, which we investigate in this study, are an informative indicator of environmental processes. However, in Environmental Data sets, as well as many others, there is a range of noise associated with individual data points. Some points are extracted under relatively clear and defined conditions, while others may include a range of known or unknown confounding factors, which may decrease those points' validity. These points may or may not remain

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Hahne, Susanne, and Philipp Maass. "Determining surface diffusion properties from signal fluctuations." Diffusion fundamentals 20 (2013) 88, S. 1-2, 2013. https://ul.qucosa.de/id/qucosa%3A13677.

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Książki na temat "Fluctuation signal"

Shirokov, Igor', and Yuriy Gimpilevich. Research of communication channel characteristics. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1093426.

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The questions of studying the amplitude and phase characteristics of communication channels of radio engineering systems are considered. As part of the research, a homodyne method for converting microwave signals is proposed, which makes it possible to measure amplitude and phase fluctuations with high accuracy and with the utmost simplicity of measuring equipment. The development of the homodyne method of signal transformation for the purposes and tasks of determining the amplitude and phase fluctuations of signals during the propagation of radio waves on open lines of sight is presented. The

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Forrest, R. N. Active sonar detection and signal excess fluctuations. Naval Postgraduate School, 1987.

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Desmedt, L. Two Novel Cation-selective Channels in the Apical Membrane of Frog Skin (Rana Temporarial): Fluctuation and Small-signal Analysis of Inactivation by Ca"+. Leuven University Press, 1993.

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Refregier. Théorie du signal: Signal, information, fluctuations. Dunod, 1997.

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Wigmans, Richard. Fluctuations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786351.003.0004.

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The energy resolution, i.e. the precision with which the energy of a showering particle can be measured, is one of the most important characteristics of a calorimeter. This resolution is determined by fluctuations in the absorption and signal formation processes. In this chapter, the different types of fluctuations that may play a role are examined, and their relative practical importance is addressed. Sources of fluctuations include fluctuations in the number of signal quanta, sampling fluctuations, fluctuations in shower leakage, as well as a variety of instrumental effects. Since the energy

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Ramani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.

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Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; i

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Vanhatalo, Sampsa, and J. Matias Palva. Infraslow EEG Activity. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0032.

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Infraslow electroencephalographic (EEG) activity refers to frequencies below the conventional clinical EEG range that starts at about 0.5 Hz. Evidence suggests that salient EEG signals in the infraslow range are essential parts of many physiological and pathological conditions. In addition, brain is known to exhibit multitude of infraslow processes, which may be observed directly as fluctuations in the EEG signal amplitude, as infraslow fluctuations or intermittency in other neurophysiological signals, or as fluctuations in behavioural performance. Both physiological and pathological EEG activ

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Circular of the Bureau of Standards No. 599: On the Theory of Fading Properties of a Fluctuating Signal Imposed on a Constant Signal; NBS Circular 599. Creative Media Partners, LLC, 2021.

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Lutsenko, V. I., I. V. Lutsenko, D. O. Popov, and I. V. Popov. Remote sensing of the environment using the radiation of existing ground and space radio systems. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.429.345.

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Possibilities of using existing ground (TV centers, broadcasting stations) and space (global navigation satellite systems) radio systems for solving the problem of remote sensing and monitoring of the environment and objects in it are considered. The methods of diagnostics of the troposphere, description of the refractive index with the use of semi-Markov processes and atomic functions of Kravchenko-Rvacheva are proposed. The seasonal and altitudinal dependencies of radio-meteorological parameters and radio-climatic features of Ukraine were studied. Technologies for determining the effective g

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Bonneh, Yoram. Motion-Induced Blindness. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0103.

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Motion-induced blindness (MIB) is a phenomenon characterized by “visual disappearance” in which relatively small but salient visual objects may disappear from one’s awareness intermittently for several seconds when embedded within a moving pattern. It is a compelling example of multistable perception in which physically invariant stimulation leads to fluctuations in perception. The interest in MIB stems from its potential use in studying visual processing outside the locus of awareness and the neural correlates of consciousness. Current studies of MIB provide evidence against low-level suppres

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Części książek na temat "Fluctuation signal"

Jin, Desheng, Qiubai Li, Yulong Mao, Wei Zhang, and Yousen Hu. "Study on the Cause and Solution of Quadrant Power Tilt Rate Alarm in a PWR Plant." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_40.

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AbstractDuring the normal operation of a pressurized water reactor plant, RPN430KA (quadrant power tilt rate over 3%) alarms were issued several times, and the alarm frequency increased with the increase of burnup, which affected the normal operation of the unit. The original signal of this alarm is from four power range channels (RPN). After the process of signal filtering, if the difference between the maximum and minimum nuclear power is still greater than 3%, the alarm will be triggered. In this paper, the root cause of the quadrant power tilt rate alarm phenomenon is studied, and targeted

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Chen, Langsheng, and Qingqing Ye. "On the Correlation Between Large-Scale Structures in the Vicinity of Turbulent/Non-turbulent Interface and Wall Pressure Within the Turbulent Boundary Layer." In IUTAM Bookseries. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78151-3_11.

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AbstractThe present work investigates the relation between large-scale coherent structures in the vicinity of turbulent/non-turbulent interface and corresponding pressure fluctuations within the turbulent boundary layer (TBL) close to the trailing edge of the NACA0012 airfoil. The planar particle image velocimetry (PIV) measurements were conducted to capture the instantaneous velocity fields, with simultaneous wall-pressure fluctuation measurement obtained by miniature transducers. Based on the identifications of high amplitude pressure peaks (HAPPs) in the pressure signal, the corresponding s

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Kuzmich, A., A. Dogariu, L. J. Wang, P. W. Milonni, and R. Y. Chiao. "Signal velocity and quantum fluctuation in superluminal light pulse propagation." In Coherence and Quantum Optics VIII. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8907-9_194.

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Kow, Ken Weng, Yee Wan Wong, Rajparthiban Kumar Rajkumar, Rajprasad Kumar Rajkumar, and Dino Isa. "Incremental Unsupervised Learning Algorithm for Power Fluctuation Event Detection in PV Grid-Tied Systems." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_73.

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Hong, Wenpeng, Yunlong Zhou, and Dong Deng. "PSD Characteristics of Air-water Two-Phase Cross Flow Based on Pressure-difference Fluctuation Signal." In Challenges of Power Engineering and Environment. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76694-0_176.

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Lurton, Xavier. "Noise and signal fluctuations." In An Introduction to Underwater Acoustics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13835-5_4.

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Meng, Deyuan, Mingjun Du, and Yuxin Wu. "Leader-Contained Fluctuation." In Disagreement Behavior Analysis of Signed Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5530-3_9.

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Meng, Deyuan, Mingjun Du, and Yuxin Wu. "Local Characterization of Fluctuation Behaviors." In Disagreement Behavior Analysis of Signed Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5530-3_10.

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Shi, Shuzhe. "How Event-by-Event Fluctuations Influence CME Signal." In Soft and Hard Probes of QCD Topological Structures in Relativistic Heavy-Ion Collisions. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25482-7_5.

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Hou, Fangli, Jun Ma, Jack C. P. Cheng, and Helen H. L. Kwok. "Early Detection and Reconstruction of Abnormal Data Using Hybrid VAE-LSTM Framework." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.93.

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Early failure detection and abnormal data reconstruction in sensor data provided by building ventilation control systems are critical for public health. Early detection of abnormal data can help prevent failures in crucial components of ventilation systems, which can result in a variety of issues, from energy wastage to catastrophic outcomes. However, conventional fault detection models ignore valuable features of dynamic fluctuations in indoor air quality (IAQ) measurements and early warning signals of faulty sensor data. This study introduces a hybrid framework for early failure detection an

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Streszczenia konferencji na temat "Fluctuation signal"

Zheng, Yichen, Gaoshen Li, and Weitao Xi. "Study on Monostatic RCS Fluctuation Model of a Small Artificial Satellite." In 2024 4th International Signal Processing, Communications and Engineering Management Conference (ISPCEM). IEEE, 2024. https://doi.org/10.1109/ispcem64498.2024.00172.

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Hoshida, Takeshi, Ryu Shinzaki, Motohiko Eto, et al. "Advanced Multi-Span Signal Monitoring Using Digital Coherent Receivers." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.tu3i.5.

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We present end-to-end monitoring techniques for wavelength paths that visualize optical parameters such as power, polarization-dependent loss and polarization fluctuation as functions of distance in multi-span transmission links with advanced signal processing in optical transceivers.

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Ji, Qihang, Jiaqi Wang, Dayou Hou, Wentao Zhang, Yongxiang Xu, and Jibin Zou. "Research on Suppression of Rotational Speed Fluctuation of Permanent Magnet Synchronous Motor Based on Hall Signal Prediction." In 2024 7th International Conference on Power and Energy Applications (ICPEA). IEEE, 2024. https://doi.org/10.1109/icpea63589.2024.10785233.

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Tang, Y. S. "Characterization of head stability induced signal fluctuation." In International Conference on Magnetics. IEEE, 1990. http://dx.doi.org/10.1109/intmag.1990.734796.

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Melinda, Melinda, Yunidar Yunidar, Zaky Noufal, Agung Budi Prasetyo, and Muhammad Irhamsyah. "A Novel Subtraction Method for Signal Fluctuation." In 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2022. http://dx.doi.org/10.1109/isriti56927.2022.10052936.

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Kawata, Satoshi. "Fluctuation for Nanophotonics." In Conference on Lasers and Electro-Optics/Pacific Rim. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleopr.2022.plenary2_c2.

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In the field of nanophotonics, suppression of fluctuations in detectors, light sources, and the environment is an important issue because they cause fatal errors in results. In this talk, I would like to discuss the positive use of fluctuations rather as a signal source, using micro- and nano-Raman imaging and 3D-nanofabrication as examples.

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Morimoto, Masakazu, and Ryutaro Nishimura. "A discreet surveillance system using wireless signal fluctuation." In 2014 International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2014. http://dx.doi.org/10.1109/iciev.2014.6850736.

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Oosawa, Fumio. "Field fluctuation and signal generation in living cells." In Proceedings of the Second International Conference. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812792761_0013.

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Zhao, Yang, Xianhui Liu, Lingyun Li, and Xiaoxia Zhao. "RF signal fluctuation based passive UHF RFID tag localization." In 2021 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2021. http://dx.doi.org/10.1109/cisce52179.2021.9445992.

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Naveed, Khuram, Sidra Mukhtar, and Naveed Ur Rehman. "Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis." In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513823.

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Raporty organizacyjne na temat "Fluctuation signal"

Dudley, Karen J., and Ronald A. Wagstaff. Trend Removal to Improve the Performance of a Fluctuation Sensitive Signal Processor. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada294534.

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LINDENBAUM, S. J., and R. S. LONGACRE. CAN RECENT CHARGE FLUCTUATION CALCULATIONS BE A RELIABLE SIGNAL FOR A QGP AT RHIC? Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/785042.

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Brown Horowitz, Sigal, Eric L. Davis, and Axel Elling. Dissecting interactions between root-knot nematode effectors and lipid signaling involved in plant defense. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598167.bard.

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Root-knot nematodes, Meloidogynespp., are extremely destructive pathogens with a cosmopolitan distribution and a host range that affects most crops. Safety and environmental concerns related to the toxicity of nematicides along with a lack of natural resistance sources threaten most crops in Israel and the U.S. This emphasizes the need to identify genes and signal mechanisms that could provide novel nematode control tactics and resistance breeding targets. The sedentary root-knot nematode (RKN) Meloidogynespp. secrete effectors in a spatial and temporal manner to interfere with and mimic multi

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Forrest, R. N. Active Sonar Detection and Signal Excess Fluctuations. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada200932.

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Myers, Cory. Modeling of Chaotic Fluctuating Channels for Signal Detection. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada303061.

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Badiey, Mohsen. Fluctuations of Broadband Acoustic Signals in Shallow Water. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada542100.

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Badiey, Mohsen. Fluctuations of Broadband Acoustic Signals in Shallow Water. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada570001.

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Badiey, Mohsen. Fluctuations of Broadband Acoustic Signals in Shallow Water. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574797.

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Badiey, Mohsen. Fluctuations of Broadband Acoustic Signals in Shallow Water. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada615958.

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Debever, Claire. Study of How Environmental Fluctuations Influence the Coherence of Acoustic Signals. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada496165.

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