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Relevant bibliographies by topics / Cyclostationary process

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Academic literature on the topic 'Cyclostationary process'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 May 2022

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Journal articles on the topic "Cyclostationary process"

1

Konstant, D. G., and V. I. Piterbarg. "Extreme values of the cyclostationary Gaussian random process." Journal of Applied Probability 30, no. 1 (1993): 82–97. http://dx.doi.org/10.2307/3214623.

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In this paper the class of cyclostationary Gaussian random processes is studied. Basic asymptotics are given for the class of Gaussian processes that are centered and differentiable in mean square. Then, under certain conditions on the non-degeneration of the centered cyclostationary Gaussian process with integrable covariance functions, the Gnedenko-type limit formula is established for and all x > 0.

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Konstant, D. G., and V. I. Piterbarg. "Extreme values of the cyclostationary Gaussian random process." Journal of Applied Probability 30, no. 01 (1993): 82–97. http://dx.doi.org/10.1017/s0021900200044016.

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In this paper the class of cyclostationary Gaussian random processes is studied. Basic asymptotics are given for the class of Gaussian processes that are centered and differentiable in mean square. Then, under certain conditions on the non-degeneration of the centered cyclostationary Gaussian process with integrable covariance functions, the Gnedenko-type limit formula is established for and all x &gt; 0.

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Lyridis, Dimitrios V., Anastassios N. Perakis, and Michael G. Parsons. "Structural Reliability Analysis of Marine Diesel Engine Shafting Systems: An Equivalent Stationary Process Approach to the Level Crossing Problem." Journal of Ship Research 38, no. 03 (1994): 253–58. http://dx.doi.org/10.5957/jsr.1994.38.3.253.

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This paper is concerned with the level crossing problem of a stress above some limit. The problem arises when the structural reliability of a diesel engine shafting system is examined. The first excursion failure probability is derived for the case that the stress on the shaft is a one-frequency cyclostationary random process. A new method is introduced where the cyclostationary random process is replaced with an equivalent stationary one, defined to have an envelope process with the same upcrossing rate as the envelope of the original cyclostationary process. Both processes are assumed to hav

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Kuznetsov, Yury V., Andrey B. Baev, Maxim A. Konovalyuk, and Anastasia A. Gorbunova. "Cyclostationary Crosstalk Cancelation in High-Speed Transmission Lines." Applied Sciences 11, no. 17 (2021): 7988. http://dx.doi.org/10.3390/app11177988.

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The theoretical and experimental evaluation of the cyclostationary random data transferring process corrupted by the individually and jointly cyclostationary crosstalk interference is presented. The interference and the message signals were measured by the real time digital oscilloscope. Autocorrelation functions were evaluated by synchronous cyclic averaging procedure. The analyzed periodic two-dimensional impulse response of the time-varying filter allows to obtain the output random process with the same cyclic frequency at the output of the filter by separation of orthogonal stationary wave

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Napolitano, Antonio. "Modeling the Electrocardiogram as Oscillatory Almost-Cyclostationary Process." IEEE Access 10 (2022): 13193–209. http://dx.doi.org/10.1109/access.2022.3147500.

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Antoni, J., and R. B. Randall. "Differential Diagnosis of Gear and Bearing Faults." Journal of Vibration and Acoustics 124, no. 2 (2002): 165–71. http://dx.doi.org/10.1115/1.1456906.

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This paper deals with the vibration-based diagnosis of rolling element bearings in the presence of strong interfering gear signals, such as is typical of helicopter gearboxes. The key idea consists in recognizing gear signals as purely periodic, whereas bearing signals experience some randomness and are close to cyclostationary, i.e. with a periodic bivariate autocorrelation function. This assertion is demonstrated by introducing a comprehensive model for the vibration generating process of bearing faults: distinctions are made between localized and distributed faults, between cyclostationary

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CAHYO, HENDRY, DWI ARYANTA, and NASRULLAH ARMI. "Kinerja Spectrum Sensing Dengan Metode Cyclostationary Feature Detector Pada Radio Kognitif." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 1, no. 1 (2013): 26. http://dx.doi.org/10.26760/elkomika.v1i1.26.

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ABSTRAKPerkembangan dalam dunia telekomunikasi nirkabel terutama spektrum frekuensi adalah hal yang perlu mendapatkan perhatian penting. Spektrum frekuensi merupakan sumber daya yang terbatas, penggunaannya harus dilakukan secara efisien dan se-maksimal mungkin. Penelitian ini membahas teknik spectrum sensing pada radio kognitif untuk menghadapi masalah keterbatasan penggunaan spektrum frekuensi. Radio kognitif merupakan sistem radio cerdas yang bisa mengatur parameternya seperti frekuensi kerja, daya pancar, dan skema modulasi secara optimal dalam melakukan proses komunikasi. Spectrum sensing

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Shevgunov, Timofey Ya. "SHAPING OPERATOR TECHNIQUE FOR MODELLING CYCLOSTATIONARY RANDOM PROCESSES." T-Comm 15, no. 8 (2021): 4–12. http://dx.doi.org/10.36724/2072-8735-2021-15-8-4-12.

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The paper proposes the shaping operator technique for modelling cyclostationary random process (CSRP) which belong to the class of second-order processes being described by the parametric pulse train model. Generating CSRP is expressed as the propagation result of the specially chosen elementary CSRP through the linear time-invariant system with a known impulse response. The paper describes the approach to forming the elementary CSRP based on the train made of Dirac delta-function uniformly following in time domain with constant step and defining the desired structural periodicity of the proce

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Lisboa de Souza, Antonio Augusto, Emmanuel Dupouy, Jean-Christophe Nallatamby, Michel Prigent, and Juan Obregon. "Experimental characterization of the cyclostationary low-frequency noise of microwave semiconductor devices under large signal operation." International Journal of Microwave and Wireless Technologies 2, no. 2 (2010): 225–33. http://dx.doi.org/10.1017/s1759078710000140.

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This paper presents a detailed experimental analysis of the cyclostationary properties of low-frequency (LF) noise sources of microwave bipolar devices, in order to improve the LF noise description in compact models. Such models are used to help designers on predicting circuit performances such as phase and amplitude noise in oscillators. We start by reviewing the most relevant experimental and simulation results on the subject, and then investigate the model of conductance fluctuations proposed to explain the 1/f noise of carbon resistors. This simple linear case serves as a basis for underst

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Abakasanga, Emeka, Nir Shlezinger, and Ron Dabora. "On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes." Entropy 22, no. 3 (2020): 345. http://dx.doi.org/10.3390/e22030345.

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Man-made communications signals are typically modelled as continuous-time (CT) wide-sense cyclostationary (WSCS) processes. As modern processing is digital, it is applied to discrete-time (DT) processes obtained by sampling the CT processes. When sampling is applied to a CT WSCS process, the statistics of the resulting DT process depends on the relationship between the sampling interval and the period of the statistics of the CT process: When these two parameters have a common integer factor, then the DT process is WSCS. This situation is referred to as synchronous sampling. When this is not t

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Dissertations / Theses on the topic "Cyclostationary process"

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Jha, Akhilesh K. "Cyclostationary Random Vibration of a Ship Propeller and a Road Vehicle." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/34486.

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A special class of nonstationary processes with periodically varying statistics, called cyclostationary (CS), is investigated. These processes are encountered in many engineering problems involving rotating machinery such as turbines, propellers, helicopter rotors, and diesel engines. We analyze a cyclostationary process model in order to show its advantages compared to a traditional stationary process model and present a methodology for calculating the statistics of the response of a linear system subjected to CS excitations. We demonstrate that a CS model estimates the statistics of the r

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Франчевська, Галина Іванівна, та Halyna Franchevska. "Комп’ютерна система розпізнавання електрокардіосигналу плоду". Master's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2020. http://elartu.tntu.edu.ua/handle/lib/33262.

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Кваліфікаційну роботу виконано на кафедрі біотехнічних систем Тернопільського національного технічного університету імені Івана Пулюя<br>Дипломну роботу присвячено розробці алгоритму та системи розпізнавання електрокардіосигналів плоду у комп’ютерних електрокардіографах. На базі фільтрового методу обробки електрокардіосигналу плоду з врахуванням взаємокореляції розроблено комп’ютерну систему розпізнавання електрокардіосигналів плоду на фоні різноманітних артефактів. Комп’ютерну систему виявлення електрокардіосигналу плоду розроблено із використанням програмн

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Datta, Gupta Syamantak. "On MMSE Approximations of Stationary Time Series." Thesis, 2013. http://hdl.handle.net/10012/8143.

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In a large number of applications arising in various fields of study, time series are approximated using linear MMSE estimates. Such approximations include finite order moving average and autoregressive approximations as well as the causal Wiener filter. In this dissertation, we study two topics related to the estimation of wide sense stationary (WSS) time series using linear MMSE estimates. In the first part of this dissertation, we study the asymptotic behaviour of autoregressive (AR) and moving average (MA) approximations. Our objective is to investigate how faithfully such approximatio

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Book chapters on the topic "Cyclostationary process"

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Hurd, Harry, and Timo Koski. "Cyclostationary Arrays." In Stochastic Processes and Functional Analysis. CRC Press, 2004. http://dx.doi.org/10.1201/9780203913574.ch9.

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Napolitano, Antonio. "Almost-cyclostationary signal processing." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00014-5.

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Napolitano, Antonio. "Generalized almost-cyclostationary signals." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00024-8.

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Napolitano, Antonio. "Oscillatory almost-cyclostationary signals." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00026-1.

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Napolitano, Antonio. "Higher-order cyclostationarity." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00015-7.

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"Front Matter." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00002-9.

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"Copyright." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00003-0.

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"Contents." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00005-4.

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"About the Author." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00006-6.

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Napolitano, Antonio. "Preface." In Cyclostationary Processes and Time Series. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102708-0.00007-8.

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Conference papers on the topic "Cyclostationary process"

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D’Elia, Gianluca, Simone Delvecchio, Marco Cocconcelli, and Giorgio Dalpiaz. "Application of Cyclostationary Indicators for the Diagnostics of Distributed Faults in Ball Bearings." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12804.

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This paper deals with the detection of distributed faults in ball bearings. In literature most of the authors focus their attention on the detection of incipient localized defects. In that case classical techniques (i.e. statistical parameters, envelope analysis) are robust in recognizing the presence of the fault and its characteristic frequency. In this paper the authors focalize their attention on bearings affected by distributed faults, due to the progressive growing of surface wear or to low-quality manufacturing process. These faults can not be detected by classical techniques; in fact,

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Napolitano, Antonio. "Aircraft Acoustic Signal Modeled as Oscillatory Almost-Cyclostationary Process." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287381.

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Gryllias, Konstantinos, Simona Moschini, and Jerome Antoni. "Application of Cyclo-Non-Stationary Indicators for Bearing Monitoring Under Varying Operating Conditions." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64443.

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Condition monitoring assesses the operational health of rotating machinery, in order to provide early and accurate warning of potential failures such that preventative maintenance actions may be taken. To achieve this target, manufacturers start taking on the responsibilities of engine condition monitoring, by embedding health monitoring systems within each engine unit and prompting maintenance actions when necessary. Several types of condition monitoring are used including oil debris monitoring, temperature monitoring and vibration monitoring. Among them, vibration monitoring is the most wide

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Ramirez, David, Peter J. Schreier, Javier Via, Ignacio Santamaria, and Louis L. Scharf. "A regularized maximum likelihood estimator for the period of a cyclostationary process." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094815.

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Mauricio, Alexandre, Dustin Helm, Markus Timusk, Jerome Antoni, and Konstantinos Gryllias. "Novel Cyclo-Non-Stationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15245.

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Abstract Condition monitoring arises as a valuable industrial process in order to assess the health of rotating machinery, providing early and accurate warning of potential failures and allowing for the planning and effective realization of preventative maintenance actions. Nowadays machinery (gas turbines, wind turbines etc.) manufacturers adopt new business models, providing not only the equipment itself but additionally taking on responsibilities of condition monitoring, by embedding sensors and health monitoring systems within each unit and prompting maintenance actions when necessary. Amo

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Yeo, Jeongho, and Joon Ho Cho. "Asymptotically optimal low-complexity estimation of sampled improper-complex second-order cyclostationary random process." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6555012.

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Stefanakos, Christos N., and Konstandinos A. Belibassakis. "Nonstationary Stochastic Modelling of Multivariate Long-Term Wind and Wave Data." In ASME 2005 24th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2005. http://dx.doi.org/10.1115/omae2005-67461.

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In the present work, a nonstationary stochastic model, which is suitable for the analysis and simulation of multivariate time series of wind and wave data, is being presented and validated. This model belongs to the class of periodically correlated stochastic processes with yearly periodic mean value and standard deviation (periodically correlated or cyclostationary stochastic process). First, the time series is appropriately transformed to become Gaussian using the Box-Cox transformation. Then, the series is decomposed, using an appropriate seasonal standardization procedure, to a periodic (d

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Bin Wu, Minjie Wang, and Yuegang Luo. "Notice of Retraction: Cyclostationarity and CHMM based bearing fault diagnosis approach in start-up process." In 2010 2nd International Conference on Computer Engineering and Technology (ICCET). IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5486117.

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