Auswahl der wissenschaftlichen Literatur zum Thema „Interval filter“
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Zeitschriftenartikel zum Thema "Interval filter"
Khan, Hidayat Ullah, Asghar Khan, Faiz Muhammad Khan, Amir Khan und Muhammad Taj. „A NEW VIEW OF FUZZY ORDERED SEMIGROUPS“. Open Journal of Science and Technology 1, Nr. 1 (14.11.2018): 9–17. http://dx.doi.org/10.31580/ojst.v1i1.150.
Der volle Inhalt der QuelleJi, Hui, Songlin Nie und Yeqing Huang. „An interval-fuzzy two-stage stochastic programming method for filter management of hydraulic systems“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, Nr. 15 (09.12.2014): 2788–809. http://dx.doi.org/10.1177/0954406214563737.
Der volle Inhalt der QuelleLouédec, Morgan, und Luc Jaulin. „Interval Extended Kalman Filter—Application to Underwater Localization and Control“. Algorithms 14, Nr. 5 (29.04.2021): 142. http://dx.doi.org/10.3390/a14050142.
Der volle Inhalt der QuelleNing Xiao-Lei, Wang Hong-Li, Zhang Qi und Chen Lian-Hua. „Interval diffracted particle filter“. Acta Physica Sinica 59, Nr. 7 (2010): 4426. http://dx.doi.org/10.7498/aps.59.4426.
Der volle Inhalt der QuelleHeine, Kari, und Dan Crisan. „Uniform approximations of discrete-time filters“. Advances in Applied Probability 40, Nr. 4 (Dezember 2008): 979–1001. http://dx.doi.org/10.1239/aap/1231340161.
Der volle Inhalt der QuelleHeine, Kari, und Dan Crisan. „Uniform approximations of discrete-time filters“. Advances in Applied Probability 40, Nr. 04 (Dezember 2008): 979–1001. http://dx.doi.org/10.1017/s0001867800002937.
Der volle Inhalt der QuellePalanivel, Kaliyaperumal, Prakasam Muralikrishna, Perumal Hemavathi, Ronnason Chinram und Pattarawan Singavananda. „Interval Valued Intuitionistic Fuzzy β-Filters on β-Algebras“. International Journal of Analysis and Applications 20 (26.09.2022): 50. http://dx.doi.org/10.28924/2291-8639-20-2022-50.
Der volle Inhalt der QuelleHujo, Ľubomír, Juraj Jablonický, Juraj Tulík, Ján Kosiba, Jerzy Kaszkowiak und Matej Michalides. „Verification Measurement of Laboratory Test Equipment for Evaluation of Technical Properties of Automotive Oil Filters“. Applied Sciences 11, Nr. 18 (11.09.2021): 8435. http://dx.doi.org/10.3390/app11188435.
Der volle Inhalt der QuelleYang, Yanting, Yan Liang, Linfeng Xu, Yuemei Qin und Yanbo Yang. „Robust interval-constrained H ∞ filter“. IET Control Theory & Applications 11, Nr. 7 (25.04.2017): 908–14. http://dx.doi.org/10.1049/iet-cta.2016.1472.
Der volle Inhalt der QuelleAnsari, Aiysha, Padmaja Ramaiah, Lillian Collazo, Hamisu M. Salihu und Donna Haiduven. „Comparison of Visual versus Microscopic Methods to Detect Blood Splatter from an Intravascular Catheter with Engineered Sharps Injury Protection“. Infection Control & Hospital Epidemiology 34, Nr. 11 (November 2013): 1174–80. http://dx.doi.org/10.1086/673462.
Der volle Inhalt der QuelleDissertationen zum Thema "Interval filter"
Avcu, Soner. „Radar Pulse Repetition Interval Tracking With Kalman Filter“. Thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607691/index.pdf.
Der volle Inhalt der QuelleJanapala, Arun. „RR INTERVAL ESTIMATION FROM AN ECG USING A LINEAR DISCRETE KALMAN FILTER“. Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3426.
Der volle Inhalt der QuelleM.S.E.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Electrical Engineering
Motwani, Amit. „Interval Kalman filtering techniques for unmanned surface vehicle navigation“. Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3368.
Der volle Inhalt der QuelleNicklas, Richard B. „An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking“. Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25691.
Der volle Inhalt der QuelleGalinis, William J. „Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking“. Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27057.
Der volle Inhalt der QuelleMohammedi, Irryhl. „Contribution à l’estimation robuste par intervalle des systèmes multivariables LTI et LPV : Application aux systèmes aérospatiaux“. Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0142.
Der volle Inhalt der QuelleThe work of this thesis aims at developing new approaches based on a new particular class of state estimators, the so-called interval or ensemble filters.Like the class of interval observers, the objective is to estimate, in a guaranteed way, the upper and lower bounds of the states of a system, at each time instant.The proposed approach is based on the theory of monotonic systems and on the knowledge of the domain of membership, supposedly bounded, of the uncertainties of the system, such as disturbances, noise and bias of sensors, etc.The key element of the proposed approach is to use a filter structure advantage, rather than an observer-based structure (relying only on a dynamic structure of the studied system).The synthesis of the filter parameters is based on the resolution of a constrained optimization problem of linear and bilinear matrix inequalities (LMI and BMI) allowing to guarantee simultaneously the existence conditions of the filter as well as a performance level, either in an energy context for LTI systems, or in an amplitude context or in a mixed energy/amplitude context for LPV systemsThe proposed synthesis methodology is illustrated on an academic example and is compared with other existing methods in the literature. Finally, the methodology is applied to the case of attitude and acceleration control of a satellite, under realistic simulation conditions
Al, Mashhadani Waleed. „The use of multistaic radar in reducing the impact of wind farm on civilian radar system“. Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/the-use-of-multistaic-radar-in-reducing-the-impact-of-wind-farm-on-civilian-radar-system(a80fd906-e670-42a0-9efb-ea22250c87f2).html.
Der volle Inhalt der QuelleIpek, Ozlem. „Target Tracking With Phased Array Radar By Using Adaptive Update Rate“. Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611589/index.pdf.
Der volle Inhalt der Quellemaneuvering segment in its trajectory. In this trajectory, the starting and final time instants of the single maneuver are specified clearly, which is important in the assessment of the algorithm performances. The effects of incorporating the variable update time interval into target tracking problem are presented and compared for several different test cases.
Nicola, Jérémy. „Robust, precise and reliable simultaneous localization and mapping for and underwater robot. Comparison and combination of probabilistic and set-membership methods for the SLAM problem“. Thesis, Brest, 2017. http://www.theses.fr/2017BRES0066/document.
Der volle Inhalt der QuelleIn this thesis, we work on the problem of simultaneously localizing an underwater robot while mapping a set of acoustic beacons lying on the seafloor, using an acoustic range-meter and an inertial navigation system. We focus on the two main approaches classically used to solve this type of problem: Kalman filtering and set-membership filtering using interval analysis. The Kalman filter is optimal when the state equations of the robot are linear, and the noises are additive, white and Gaussian. The interval-based filter do not model uncertainties in a probabilistic framework, and makes only one assumption about their nature: they are bounded. Moreover, the interval-based approach allows to rigorously propagate the uncertainties, even when the equations are non-linear. This results in a high reliability in the set estimate, at the cost of a reduced precision.We show that in a subsea context, when the robot is equipped with a high precision inertial navigation system, a part of the SLAM equations can reasonably be seen as linear with additive Gaussian noise, making it the ideal playground of a Kalman filter. On the other hand, the equations related to the acoustic range-meter are much more problematic: the system is not observable, the equations are non-linear, and the outliers are frequent. These conditions are ideal for a set-based approach using interval analysis.By taking advantage of the properties of Gaussian noises, this thesis reconciles the probabilistic and set-membership processing of uncertainties for both linear and non-linear systems with additive Gaussian noises. By reasoning geometrically, we are able to express the part of the Kalman filter equations linked to the dynamics of the vehicle in a set-membership context. In the same way, a more rigorous and precise treatment of uncertainties is described for the part of the Kalman filter linked to the range-measurements. These two tools can then be combined to obtain a SLAM algorithm that is reliable, precise and robust. Some of the methods developed during this thesis are demonstrated on real data
Akhbari, Mahsa. „Analyse des intervalles ECG inter- et intra-battement sur des modèles d'espace d'état et de Markov cachés“. Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT026.
Der volle Inhalt der QuelleCardiovascular diseases are one of the major causes of mortality in humans. One way to diagnose heart diseases and abnormalities is processing of cardiac signals such as ECG. In many of these processes, inter-beat and intra-beat features of ECG signal must be extracted. These features include peak, onset and offset of ECG waves, meaningful intervals and segments that can be defined for ECG signal. ECG fiducial point (FP) extraction refers to identifying the location of the peak as well as the onset and offset of the P-wave, QRS complex and T-wave which convey clinically useful information. However, the precise segmentation of each ECG beat is a difficult task, even for experienced cardiologists.In this thesis, we use a Bayesian framework based on the McSharry ECG dynamical model for ECG FP extraction. Since this framework is based on the morphology of ECG waves, it can be useful for ECG segmentation and interval analysis. In order to consider the time sequential property of ECG signal, we also use the Markovian approach and hidden Markov models (HMM). In brief in this thesis, we use dynamic model (Kalman filter), sequential model (HMM) and their combination (switching Kalman filter (SKF)). We propose three Kalman-based methods, an HMM-based method and a SKF-based method. We use the proposed methods for ECG FP extraction and ECG interval analysis. Kalman-based methods are also used for ECG denoising, T-wave alternans (TWA) detection and fetal ECG R-peak detection.To evaluate the performance of proposed methods for ECG FP extraction, we use the "Physionet QT database", and a "Swine ECG database" that include ECG signal annotations by physicians. For ECG denoising, we use the "MIT-BIH Normal Sinus Rhythm", "MIT-BIH Arrhythmia" and "MIT-BIH noise stress test" databases. "TWA Challenge 2008 database" is used for TWA detection and finally, "Physionet Computing in Cardiology Challenge 2013 database" is used for R-peak detection of fetal ECG. In ECG FP extraction, the performance of the proposed methods are evaluated in terms of mean, standard deviation and root mean square of error. We also calculate the Sensitivity for methods. For ECG denoising, we compare methods in their obtained SNR improvement
Bücher zum Thema "Interval filter"
Nicklas, Richard B. An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking. Monterey, Calif: Naval Postgraduate School, 1989.
Den vollen Inhalt der Quelle findenGalinis, William J. Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking. Monterey, California: Naval Postgraduate School, 1989.
Den vollen Inhalt der Quelle findenWeinert, Howard L. Fixed interval smoothing for state space models. Boston: Kluwer Academic Publishers, 2001.
Den vollen Inhalt der Quelle findenBar, Moshe. Linux internals. New York: McGraw-Hill, 2000.
Den vollen Inhalt der Quelle findenChappell, Geoff. DOS internals. Reading, Mass: Addison-Wesley, 1994.
Den vollen Inhalt der Quelle findenPietrek, Matt. Windows internals. 5. Aufl. Washington, DC: Microsoft, 2009.
Den vollen Inhalt der Quelle findenSoltis, Shaw Susan, Hrsg. UNIX internals: A systems operation handbook. Blue Ridge Summit, PA: Tab Books, 1987.
Den vollen Inhalt der Quelle findenSales, Jane. Symbian OS Internals. New York: John Wiley & Sons, Ltd., 2005.
Den vollen Inhalt der Quelle findenMauro, Jim. Solaris internals: Core kernel components. Palo Alto, CA: Sun Microsystems, Inc., 2001.
Den vollen Inhalt der Quelle findenBlair, Hydrick, United States. Dept. of State. und University Publications of America, Inc., Hrsg. Confidential U.S. State Department central files.: Internal affairs. Frederick, Md: University Publications of America, 1985.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Interval filter"
Catlin, Donald E. „Fixed Interval Smoothing“. In Estimation, Control, and the Discrete Kalman Filter, 188–99. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4528-5_9.
Der volle Inhalt der QuelleSharma, Teena, und Nishchal K. Verma. „Adaptive Interval Type-2 Fuzzy Filter“. In Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement, 111–34. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2011-8_6.
Der volle Inhalt der QuelleWang, Ziyun, Yan Wang und Zhicheng Ji. „Fault diagnosis based on interval“. In Filter Design for System Modeling, State Estimation and Fault Diagnosis, 95–148. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23146-5.
Der volle Inhalt der QuelleQuislant, Ricardo, Eladio Gutierrez, Oscar Plata und Emilio L. Zapata. „Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification“. In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 162–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15381-5_20.
Der volle Inhalt der QuelleForsythe, W., und R. M. Goodall. „Error Mechanisms, Filter Structure, and the Sampling Interval“. In Digital Control, 88–111. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21550-8_4.
Der volle Inhalt der QuelleGuru, D. S., und N. Vinay Kumar. „Clustering of Interval Valued Data Through Interval Valued Feature Selection: Filter Based Approaches“. In Mining Intelligence and Knowledge Exploration, 270–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66187-8_26.
Der volle Inhalt der QuelleWang, Ziyun, Yan Wang und Zhicheng Ji. „Design of Interval Set-Membership Based Fault Detection Filter“. In Advances in Fault Detection and Diagnosis Using Filtering Analysis, 57–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5959-1_5.
Der volle Inhalt der QuelleLi, Hongyi, Ligang Wu, Hak-Keung Lam und Yabin Gao. „Filter Design of Interval Type-2 Fuzzy-Model-Based Systems“. In Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems, 109–21. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0593-0_7.
Der volle Inhalt der QuelleZhao, Shen, Yunwei Zhang, XiWei Guo und Deliang Liu. „Research on the Linear Interpolation of Equal-Interval Fractional Delay Filter“. In Lecture Notes in Electrical Engineering, 512–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_60.
Der volle Inhalt der QuelleWen, Chenglin, Chaoyang Zhu, Daxing Xu und Lidi Quan. „A Non-uniform Quantization Filter Based on Adaptive Quantization Interval in WSNs“. In Communications in Computer and Information Science, 595–605. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5230-9_58.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Interval filter"
Liang, You, Aerambamoorthy Thavaneswaran, Juan Liyau, Areebah Muhammad, Thimani Ranathungage und Ruppa Thulasiram. „A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts“. In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 204–9. IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00037.
Der volle Inhalt der QuelleLu, Quoc-Hung, Soheib Fergani, Carine Jauberthie und Francoise Le Gall. „Optimally bounded Interval Kalman filter“. In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9028918.
Der volle Inhalt der QuelleLi, Ning, Hongbin Ma und Chenguang Yang. „Interval Kalman filter based RFID indoor positioning“. In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7532252.
Der volle Inhalt der QuelleMadsen, Stian, und Lars E. Bakken. „Gas Turbine Operation Offshore: Increased Operating Interval and Higher Engine Performance Through Optimized Intake Air Filter System“. In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56066.
Der volle Inhalt der QuelleCamlica, Sedat, und Mubeccel Demirekler. „Kalman filter based sinusoidal Pulse Repetition Interval tracking“. In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136558.
Der volle Inhalt der QuelleDo, Le Minh Khoa, Young Suh und Vinh Nguyen. „Networked Kalman Filter with Sensor Transmission Interval Optimization“. In 2006 SICE-ICASE International Joint Conference. IEEE, 2006. http://dx.doi.org/10.1109/sice.2006.315747.
Der volle Inhalt der QuelleAbdallah, Fahed, Amadou Gning und Philippe Bonnifait. „Adapting Particle Filter on Interval Data for Dynamic State Estimation“. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366445.
Der volle Inhalt der QuelleWang, Jiawei, Yi Shen und Miao Zhang. „Robust fault detection filter design for linear switched interval systems“. In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852719.
Der volle Inhalt der QuelleTong, Xiaohong, und Chao Tang. „Robotic fish tracking method based on suboptimal interval Kalman filter“. In LIDAR Imaging Detection and Target Recognition 2017, herausgegeben von Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han und Weiqi Jin. SPIE, 2017. http://dx.doi.org/10.1117/12.2288914.
Der volle Inhalt der QuelleHu, Jie, Yan Wang, Aiguo Cheng und Zhihua Zhong. „A Kalman Filtering Mechanism Based on Generalized Interval Probability and its Application in Process Variation Estimation“. In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34543.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Interval filter"
SMITH, K. E. Multi-Canister overpack internal HEPA filters. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/11253.
Der volle Inhalt der QuelleKonzen, Kevin K., und Stephanie R. Doll. 222-S Pre-Filter: Radiological Evaluation of Worker Potential Internal Dose. Office of Scientific and Technical Information (OSTI), Januar 2019. http://dx.doi.org/10.2172/1491747.
Der volle Inhalt der QuelleLavoie, D., V. Tremblay und C. Rivard. Sandstone composition and diagenesis of the Paskapoo Formation and their significance for shallow groundwater aquifer in the Fox Creek area, west-central Alberta. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331923.
Der volle Inhalt der QuelleLewis, M. W., und T. L. Wilson. Response of a water-filled spherical vessel to an internal explosion. Office of Scientific and Technical Information (OSTI), Juni 1997. http://dx.doi.org/10.2172/515568.
Der volle Inhalt der QuelleWilson, T. L., und M. W. Lewis. Response of a water-filled spherical vessel to an internal explosion. Office of Scientific and Technical Information (OSTI), Oktober 1997. http://dx.doi.org/10.2172/537336.
Der volle Inhalt der QuelleMertz, G. E. Structural response of the ITP failed filter transportation box to impact and internal pressure, Task 93-034-1. Office of Scientific and Technical Information (OSTI), Juli 1993. http://dx.doi.org/10.2172/10192083.
Der volle Inhalt der QuelleLi, Chunyan. High-Resolution Air Pressure Measured from Ground StationsHigh-Resolution Air Pressure Measured from Ground Stations. LSU Digital Commons, Februar 2022. http://dx.doi.org/10.31390/oceanography_coastal_wavcis.02.
Der volle Inhalt der QuelleGoldak, J. L51647 Welding on Fluid Filled and Pressurized Pipelines-Transient 3D Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), März 2000. http://dx.doi.org/10.55274/r0011356.
Der volle Inhalt der QuelleLipman, Robert R. STEP File Analyzer User's Guide NIST Interagency or Internal Reports. Gaithersburg, MD: National Institute of Standards and Technology, Dezember 2012. http://dx.doi.org/10.6028/nist.ir.7897.
Der volle Inhalt der QuelleMalcolm, Gerard. Adjusting Tax Rates in the GTAP Data Base. GTAP Technical Paper, September 2000. http://dx.doi.org/10.21642/gtap.tp12.
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