Academic literature on the topic 'THz filter'
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Journal articles on the topic "THz filter"
Zhang, Xiao Yu, Zhong Xin Zheng, Xin Xing Li, Ren Bing Tan, Zhi Peng Zhang, Yu Zhou, Jian Dong Sun, Bao Shun Zhang, and Hua Qin. "Terahertz Filter Based on Frequency Selective Surfaces." Advanced Materials Research 571 (September 2012): 362–66. http://dx.doi.org/10.4028/www.scientific.net/amr.571.362.
Full textPavia, João Pedro, Nuno Souto, and Marco Alexandre Ribeiro. "Design of a Reconfigurable THz Filter Based on Metamaterial Wire Resonators with Applications on Sensor Devices." Photonics 7, no. 3 (July 10, 2020): 48. http://dx.doi.org/10.3390/photonics7030048.
Full textHuang, Ying, Taiyu Okatani, and Yoshiaki Kanamori. "Broadband stop filters for THz waves using H-shaped metamaterials with dual electronic-plasmonic functionality." Japanese Journal of Applied Physics 61, SD (March 24, 2022): SD1007. http://dx.doi.org/10.35848/1347-4065/ac55dd.
Full textZhai, Dongwei, Yuping Yang, Zhaoxin Geng, Bin Cui, and Rong Zhao. "A High-Selectivity THz Filter Based on a Flexible Polyimide Film." IEEE Transactions on Terahertz Science and Technology 8, no. 6 (November 2018): 719–24. http://dx.doi.org/10.1109/tthz.2018.2872414.
Full textWang, Fengjuan, Vasilis F. Pavlidis, and Ningmei Yu. "Miniaturized SIW Bandpass Filter Based on TSV Technology for THz Applications." IEEE Transactions on Terahertz Science and Technology 10, no. 4 (July 2020): 423–26. http://dx.doi.org/10.1109/tthz.2020.2974091.
Full textShipilo, Daniil E., Nikolay A. Panov, Irina A. Nikolaeva, Alexander A. Ushakov, Pavel A. Chizhov, Kseniia A. Mamaeva, Vladimir V. Bukin, Sergey V. Garnov, and Olga G. Kosareva. "Low-Frequency Content of THz Emission from Two-Color Femtosecond Filament." Photonics 9, no. 1 (December 29, 2021): 17. http://dx.doi.org/10.3390/photonics9010017.
Full textLiu, Chuqing, Jiasheng Ye, and Yan Zhang. "Thermally tunable THz filter made of semiconductors." Optics Communications 283, no. 6 (March 2010): 865–68. http://dx.doi.org/10.1016/j.optcom.2009.11.019.
Full textLiu, Shuang, Jiang Hu, Yong Zhang, Zhongwan Zheng, Yupeng Liu, Ruimin Xu, and Quan Xue. "1 THz Micromachined Waveguide Band-Pass Filter." Journal of Infrared, Millimeter, and Terahertz Waves 37, no. 5 (December 1, 2015): 435–47. http://dx.doi.org/10.1007/s10762-015-0229-6.
Full textLiu, Jianjun, and Zhi Hong. "Mechanically tunable dual frequency THz metamaterial filter." Optics Communications 426 (November 2018): 598–601. http://dx.doi.org/10.1016/j.optcom.2018.06.019.
Full textWang, Jingjing, Kai Guo, and Zhongyi Guo. "THz filter based on the Si microdisk array." AIP Advances 9, no. 4 (April 2019): 045106. http://dx.doi.org/10.1063/1.5083004.
Full textDissertations / Theses on the topic "THz filter"
Bui, Van Bien. "La stabilité du filtre non-linéaire en temps continu." Thesis, Nice, 2016. http://www.theses.fr/2016NICE4002/document.
Full textThe filtering problem consists of estimating the state of a dynamic, called signal which is often a Markov process, from the noisy observation of the past states. In this thesis, we consider a filtering model in continuous time for the diffusion process. The aim is to study the stability of the optimal filter with respect to its initial condition beyond the mixing (or quasi – mixing) hypothesis for the transition kernel
Morzfeld, Matthias, Daniel Hodyss, and Chris Snyder. "What the collapse of the ensemble Kalman filter tells us about particle filters." TAYLOR & FRANCIS LTD, 2017. http://hdl.handle.net/10150/623125.
Full textLaw, Ying Man. "Iterative algorithms for the constrained design of filters and filter banks /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20LAW.
Full textIncludes bibliographical references (leaves 108-111). Also available in electronic version. Access restricted to campus users.
Ravet, Alexandre. "Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0045/document.
Full textPrevalent approaches for endowing robots with autonomous navigation capabilities require the estimation of a system state representation based on sensor noisy information. This system state usually depicts a set of dynamic variables such as the position, velocity and orientation required for the robot to achieve a task. In robotics, and in many other contexts, research efforts on state estimation converged towards the popular Bayes filter. The primary reason for the success of Bayes filtering is its simplicity, from the mathematical tools required by the recursive filtering equations, to the light and intuitive system representation provided by the underlying Hidden Markov Model. Recursive filtering also provides the most common and reliable method for real-time state estimation thanks to its computational efficiency. To keep low computational complexity, but also because real physical systems are not perfectly understood, and hence never faithfully represented by a model, Bayes filters usually rely on a minimum system state representation. Any unmodeled or unknown aspect of the system is then encompassed within additional noise terms. On the other hand, autonomous navigation requires robustness and adaptation capabilities regarding changing environments. This creates the need for introducing contextual awareness within the filtering process. In this thesis, we specifically focus on enhancing state estimation models for dealing with context-dependent sensor performance alterations. The issue is then to establish a practical balance between computational complexity and realistic modelling of the system through the introduction of contextual information. We investigate on achieving this balance by extending the classical Bayes filter in order to compensate for the optimistic assumptions made by modeling the system through time-homogeneous distributions, while still benefiting from the recursive filtering computational efficiency. Based on raw data provided by a set of sensors and any relevant information, we start by introducing a new context variable, while never trying to characterize a concrete context typology. Within the Bayesian framework, machine learning techniques are then used in order to automatically define a context-dependent time-heterogeneous observation distribution by introducing two additional models: a model providing observation noise predictions and a model providing observation selection rules.The investigation also concerns the impact of the training method we choose. In the context of Bayesian filtering, the model we exploit is usually trained in the generative manner. Thus, optimal parameters are those that allow the model to explain at best the data observed in the training set. On the other hand, discriminative training can implicitly help in compensating for mismodeled aspects of the system, by optimizing the model parameters with respect to the ultimate system performance, the estimate accuracy. Going deeper in the discussion, we also analyse how the training method changes the meaning of the model, and how we can properly exploit this property. Throughout the manuscript, results obtained with simulated and representative real data are presented and analysed
Bourrous, Soleiman. "Étude du colmatage des filtres THE plans et à petits plis par des agrégats de nanoparticules simulant un aérosol de combustion." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0301/document.
Full textIn nuclear facilities, airborne particles are the vector of most of the radiological contamination. For this reason, pleated HEPA filters are one of the containment devices which are actively studied by the IRSN (Institut de Radioprotection et de Sûreté Nucléaire) to ensure the safety of nuclear exploitation. To avoid contamination of the environment, the understanding of the behavior of the filters especially in accidental situation has to be as exhaustive as possible. The most probable accident and the most penalizing for the containment devices is fire which leads to a massive soot particle production. In this case, the clogging of the filters is a problematic which has to be taken into account. Up to now, an empirical correlation has been developed to predict the pressure drop increase. The empirical nature of this correlation doesn’t allow its use in all situations. A phenomenological understanding and model of the clogging is then necessary. The following PhD work aims to reduce the pressure drop evolution to physical observations for each step of the clogging in order to model it on the most physical basis as possible. To do so, the study has been divided in two parts. The first one focusing on the behavior of flat filter by measuring the penetration of particles inside the medium and the porosity of the deposit formed on its surface. In the second part a small scale experiment based on a single pleat has been developed. Accumulation of the particles inside the pleat has been directly observed, deformation of the pleat as well as airflow in the pleat (using a PIV method) has been measured. During these experiments, pressure drop has been monitored and the measured parameters have been linked to the pressure drop evolution. Finality is to build a simple analytical model to predict the pressure drop evolution of the filters as a function of the deposited mass, the aerosol characteristics and the ventilation conditions. The main perspective opened by these results is the validation of complete numerical models to overcome the experimental limits. The logical extension of this work will be the study of the interaction of a clogged filter with temperature, air moisture and chemical aggression
Iyer, Naresh Sundaram. "A Family of Dominance Filters for Multiple Criteria Decision Making: Choosing the Right Filter for a Decision Situation." Connect to this title online, 2001. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1005939267.
Full textTitle from first page of PDF file. Document formatted into pages; contains xiv, 169 p.; also contains graphics (some col.). Includes abstract and vita. Advisor: B. Chandresekaran, Dept. of Computer and Information Science. Includes bibliographical references (p. 165-169).
Boudreau, Chantal. "The transport of radioactive ions in a gas filled radio frequency quadrupole mass filter system /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32979.
Full textAndersson, Egerlid Axel, and Fredrik Westin. "Design of filter cloth analyser : Development of a portable filter cloth selection tool for filters used to regenerate the acid used in the pickling process during the production of stainless steel." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71474.
Full textStålindustrin är en industri som tillverkar ettav de mest använda materialen i världen. Trotsindustrins enorma storlek är det kanske intemånga som reflekterar varifrån stålet kommerifrån när man köper exempelvis IKEA bestick.Men faktum är att den här industrin är mycketmer invecklad och komplex än vad man kan tro. Under tillverkningsprocessen går stålet ige-nom flera processer. En av de här processerna genomförs genom att behandla stålet med starksyra. Den kemiska processen kallas för betningoch är det som ger en produkt tillverkad i stålden karaktäristiska lena och glänsande ytan. Den här examensrapporten handlar om ut-vecklandet av en test enhet som effektivt kan testa filter dukarna till ASRA (Acid SludgeRemoval Apparatus) systemet. ASRA systemetär ett filtreringssystem utvecklat av Scanaconi Stockholm som filtrerar och renar syran som används under betningsprocessen vid stål-tillverkning. Idag är det komplicerat, tidskrä-vande och farligt att testa och utvärdera olika filterdukar för att ta reda på vilken duk somger bäst resultat, eftersom att testerna måstegenomföras på de riktiga systemen. Målet fördet här examensarbetet var därför att lösa dehär problemen. Scanacon ville ha en alternativlösning som inte kräver interaktion med deriktiga systemen. De ville också ha en portabeloch säker lösning. För att lösa problemet utvecklades en itera-tiv designprocess kallad RDCD som står för research, design, create & delivery. Processen var tungt influerat av CDIO (Conceive, De-sign, Implement & Operate) processen. Efter att researchfasen var genomförd bestämdesdet att en liten filteranalysatorprodukt var detbästa sättet att lösa problemet på. Produktenutvecklades sedan en komponent i taget. Underprojektets gång har flera prototyper byggts och flera tester genomförts för att validera designen. Resultatet är en liten filtreringsenhet som är specialdesignad för att simulera ASRA syste-met. Produkten kan snabbt testa oliak filterdu-kar på ett enkelt sätt, utan utsätta användaren för fara. Efter att testerna genomförts kananvändaren identifiera vilken duk som funkatbäst. Produkten är tillräckligt liten för att fåplats i en hårdplast väska, vilket ger produktenden efterfrågade portabiliteten.
Kruger, Abraham J. "The impact of filter loading on residential hvac performance." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50344.
Full textZubi, Hazem. "Lowpass Broadband Harmonic Filter Design." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606587/index.pdf.
Full textBooks on the topic "THz filter"
Tracking filter engineering: The Gauss-Newton and polynomial filters. London: Institution of Engineering and Technology, 2013.
Find full textVandenbyllaardt, L. J. Performance characteristics of four biological filters and the development of a filter sizing procedure. Winnipeg, Man: Central and Arctic Region, Dept. of Fisheries and Oceans, 1992.
Find full textBlandford, Richard K. The digital filter analyzer. Reading, Mass: Addison-Wesley, 1988.
Find full textGaver, Donald Paul. Robustifying the Kalman filter. Monterey, Calif: Naval Postgraduate School, 1987.
Find full textChristiano, Lawrence J. The band pass filter. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textWells, Curt. The Kalman filter in finance. Dordrecht [Netherlands]: Kluwer Academic Publishers, 1996.
Find full textWells, Curt. The Kalman Filter in Finance. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8611-5.
Full textRobert, Powell. Ken Yeang: Rethingking the environmental filter. Singapore: Landmark Books, 1989.
Find full textData assimilation: The ensemble Kalman filter. Berlin: Springer, 2007.
Find full textLin, Dennis K. J. Handling spuriosity in the Kalman filter. Toronto, Ont: University of Toronto, Dept. of Statistics, 1992.
Find full textBook chapters on the topic "THz filter"
Deyasi, Arpan, and Angsuman Sarkar. "THz Bandpass Filter Design Using Metamaterial-Based Defected 1D Photonic Crystal Structure." In Emerging Trends in Terahertz Solid-State Physics and Devices, 1–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3235-1_1.
Full textKeller, Reto B. "Filtering." In Design for Electromagnetic Compatibility--In a Nutshell, 245–63. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14186-7_15.
Full textDeyasi, Arpan, and Angsuman Sarkar. "Performance Estimation of Defected Ternary Photonic Crystal-Based Bandpass Filter Beyond 100 THz for All-Optical Circuit." In Emerging Trends in Terahertz Engineering and System Technologies, 31–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9766-4_3.
Full textMyrseth, I., and H. Omre. "The Ensemble Kalman Filter and Related Filters." In Large-Scale Inverse Problems and Quantification of Uncertainty, 217–46. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470685853.ch11.
Full textEvensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "A Kalman Filter with the Roessler Model." In Springer Textbooks in Earth Sciences, Geography and Environment, 131–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_12.
Full textNeckels, Kai. "Wavelet Filter Design via Linear Independent Basic Filters." In Algebraic Frames for the Perception-Action Cycle, 251–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722492_19.
Full textKeller, Reto B. "Components." In Design for Electromagnetic Compatibility--In a Nutshell, 145–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14186-7_11.
Full textLuque Quispe, Jaime J., and Luís G. Pedroso Meloni. "Pulse Shaping Filter Design for Filtered OFDM Transceivers." In Proceedings of the 3rd Brazilian Technology Symposium, 131–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93112-8_15.
Full textShirokova, Galina. "CASE 4: Big Filter: Russian Filters in the International Market." In Entrepreneurial Icebreakers, 155–78. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137446329_10.
Full textWaters, Allan. "The Operational Amplifier." In Active Filter Design, 27–38. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21311-5_3.
Full textConference papers on the topic "THz filter"
Sun, Han, and Yaxin Zhang. "Terahertz Asymmetric Coplanar Waveguide Filter." In 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2018). IEEE, 2018. http://dx.doi.org/10.1109/irmmw-thz.2018.8510351.
Full textLi, Jining, and Shengjiang Chang. "Alternative-frequency-selected terahertz bandstop filter." In 2014 39th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, 2014. http://dx.doi.org/10.1109/irmmw-thz.2014.6956236.
Full textChampagne, J., S. Dupont, J. Gazalet, and J. C. Kastelik. "Tunable filter design for IR hyperspectral imaging." In 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz). IEEE, 2019. http://dx.doi.org/10.1109/irmmw-thz.2019.8874428.
Full textFerraro, A., A. A. Tanga, D. C. Zografopoulos, G. C. Messina, M. Ortolani, and R. Beccherelli. "Terahertz filter with flat-top transmission response." In 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz). IEEE, 2019. http://dx.doi.org/10.1109/irmmw-thz.2019.8874484.
Full textSushko, O., R. Dubrovka, and R. S. Donnan. "Interpretive modeling of THz response of biomolecules as filter circuits." In 2012 37th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2012). IEEE, 2012. http://dx.doi.org/10.1109/irmmw-thz.2012.6380335.
Full textPaulsen, Andrew, and Ajay Nahata. "Anisotropic THz plasmonic filter created using K-space design technique." In 2014 39th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, 2014. http://dx.doi.org/10.1109/irmmw-thz.2014.6956045.
Full textSo, J. K., M. A. Seo, D. S. Kim, J. H. Kim, S. S. Chang, J. H. Son, and G. S. Park. "THz Multi-frequency resonance filter." In 2008 33rd International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz 2008). IEEE, 2008. http://dx.doi.org/10.1109/icimw.2008.4665587.
Full textChe, George, Sean Bryan, Philip Mauskopf, Matthew Underhill, Hamdi Mani, and Christopher Groppi. "A waveguide filter bank for millimeter-wave spectroscopy." In 2014 39th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, 2014. http://dx.doi.org/10.1109/irmmw-thz.2014.6956112.
Full textZhong, Renbin, Yan Liu, Jiebiao Huang, Yilin Lu, and Shenggang Liu. "Metal-Graphene Based Dynamically Tunable Bands Stop Filter." In 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2018). IEEE, 2018. http://dx.doi.org/10.1109/irmmw-thz.2018.8509842.
Full textLan, L. J., B. B. Jin, J. B. Wu, L. Kang, W. W. Xu, J. Chen, and P. H. Wu. "A flexible multi-layer metamaterial for filter and biosensor at THz." In 2014 39th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, 2014. http://dx.doi.org/10.1109/irmmw-thz.2014.6956209.
Full textReports on the topic "THz filter"
Taylor, S., J. Lever, K. Burgess, R. Stroud, D. Brownlee, L. Nittler, A. Bardyn, et al. Sampling interplanetary dust from Antarctic air. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43345.
Full textCostley, D., Luis De Jesús Díaz,, Sarah McComas, Christopher Simpson, James Johnson, and Mihan McKenna. Multi-objective source scaling experiment. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40824.
Full textDomen, Michael, Richard A. Kamin, and Douglas F. Mearns. Evaluation of the Impact of a Synthetic Paraffinic Kerosene and JP-8 Blend on the Filters and Filter/Coalescer Performance. Fort Belvoir, VA: Defense Technical Information Center, August 2009. http://dx.doi.org/10.21236/ada508934.
Full textChristiano, Lawrence, and Terry Fitzgerald. The Band Pass Filter. Cambridge, MA: National Bureau of Economic Research, July 1999. http://dx.doi.org/10.3386/w7257.
Full textAbraham J. Fetterman and Nathaniel J. Fisch. The Magnetic Centrifugal Mass Filter. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1062579.
Full textLamontagne, M., P. Archambault, and S. Halchuk. Macroseismic information for the seven largest moderate earthquakes of the Charlevoix seismic zone, Quebec, between 1870 and 2021: February 3, 1902, M 4.5; September 30, 1924, M 5.2; January 08, 1931, M 4.9; October 19, 1939, M 5.3; October 14, 1952, M 4.5; August 19, 1979, M 4.8; March 6, 2005, M 4.7. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329135.
Full textPensado, Osvaldo, George Adams, and Imad Khalek. Technical analysis of filter testing at the U.S. Department of Energy Filter Test Facility. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1834370.
Full textPodesta, John. Brief Tutorial on the Kalman Filter. Fort Belvoir, VA: Defense Technical Information Center, November 1994. http://dx.doi.org/10.21236/ada286571.
Full textWaisner, Scott, Victor Medina, Charles Ellison, Jose Mattei-Sosa, John Brasher, Jacob Lalley, and Christopher Griggs. Design, construction, and testing of the PFAS Effluent Treatment System (PETS), a mobile ion exchange–based system for the treatment of per-, poly-fluorinated alkyl substances (PFAS) contaminated water. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43823.
Full textLitt, R. D., R. C. Glover, and J. K. Raghavan. Advanced development of the nested fiber filter. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10194961.
Full text