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Auswahl der wissenschaftlichen Literatur zum Thema „Rfsoi“
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Zeitschriftenartikel zum Thema "Rfsoi"
Abbadie, Alexandra, C. Pribat, V. Gredy, V. Brouzet und E. Sereix. „Impact of Oxygen on the Generation of Slip Lines and the Electronic Properties of Si-based Substrates“. ECS Transactions 112, Nr. 1 (29.09.2023): 147–56. http://dx.doi.org/10.1149/11201.0147ecst.
Der volle Inhalt der QuelleDai, Ruofan. „A 0.6-V sub-mW X-band RFSOI CMOS LNA with novel complementary current-reused technique“. International Journal of Circuit Theory and Applications 45, Nr. 12 (07.03.2017): 2046–56. http://dx.doi.org/10.1002/cta.2336.
Der volle Inhalt der QuelleCosta, Julio. „Passing the Plateau of Productivity: Development of RFSOI Technologies on HR Silicon Substrates for Reconfigurable Wireless Solutions“. IEEE Microwave Magazine 15, Nr. 7 (November 2014): S61—S73. http://dx.doi.org/10.1109/mmm.2014.2356152.
Der volle Inhalt der QuelleWu, Zhuo-Jie, Haojun Zhang und John Malinowski. „Understanding and Improving Reliability for Wafer Level Chip Scale Package: A Study Based on 45nm RFSOI Technology for 5G Applications“. IEEE Journal of the Electron Devices Society 8 (2020): 1305–14. http://dx.doi.org/10.1109/jeds.2020.3023007.
Der volle Inhalt der QuelleErgesh, Toktonur, Jian Li, Xue-Feng Duan, Xin Pei und Zhi-Gang Wen. „Development of Pulsar Digital Backend Based on RFSoC“. Research in Astronomy and Astrophysics 22, Nr. 2 (01.02.2022): 025002. http://dx.doi.org/10.1088/1674-4527/ac3ad9.
Der volle Inhalt der QuellePark, Kun Hee, Yung Szen Yap, Yuanzheng Paul Tan, Christoph Hufnagel, Long Hoang Nguyen, Karn Hwa Lau, Patrick Bore et al. „ICARUS-Q: Integrated control and readout unit for scalable quantum processors“. Review of Scientific Instruments 93, Nr. 10 (01.10.2022): 104704. http://dx.doi.org/10.1063/5.0081232.
Der volle Inhalt der QuelleAxani, S. N., S. Futagi, M. Garcia, C. Grant, K. Hosokawa, S. Ieki, K. Inoue et al. „RFSoC-based front-end electronics for pulse detection“. Journal of Instrumentation 19, Nr. 03 (01.03.2024): P03013. http://dx.doi.org/10.1088/1748-0221/19/03/p03013.
Der volle Inhalt der QuelleAhmed, Faroque. „Dynamic spillovers of various uncertainties to Russian financial stress: Evidence from quantile dependency and frequency connectedness approaches“. Russian Journal of Economics 10, Nr. 3 (02.10.2024): 246–73. http://dx.doi.org/10.32609/j.ruje.10.126926.
Der volle Inhalt der QuelleLiu, Chao, Ryan Herbst, Larry Ruckman und Emilio Nanni. „Next Generation LLRF Control Platform for Compact C-band Linear Accelerator“. EPJ Web of Conferences 315 (2024): 02008. https://doi.org/10.1051/epjconf/202431502008.
Der volle Inhalt der QuelleBergamaschi, L., und A. Martínez. „Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems“. Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/767042.
Der volle Inhalt der QuelleDissertationen zum Thema "Rfsoi"
Bordignon, Thomas. „RFSOI Technology Development by means of new substrate methodologies for 5G Applications“. Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILN041.
Der volle Inhalt der QuelleRF CMOS technology, initially used for Bluetooth and GPS in the 1990s, is now crucial for cellular networking in smartphones, PCs, and WiFi modems. The transition from 4G to 5G has driven the need for continuous improvements of the transistors employed in the RF Front End Modules, and now 6G development requires cost-effective and high-performance LNAs and switches capable of working in the mm-Waves frequencies range. The primary objective of this thesis is to improve key performance metrics of the STMicroelectronics CMOS65SOIMMW PDSOI devices, which means reducing RONCOFF while keeping how RFVMAX values for switches transistors and increasing fT and fMAX for LNA transistors. This involves reducing parasitic capacitances and enhancing electron mobility by means of modifications of the SOI substrate. Three projects were undertaken to address these objectives: ThinSOI, Strained SOI, and Channel Orientation. The ThinSOI project investigates the impact of reducing the SOI layer thickness, typically 75 nm, to improve parasitic capacitances and RF switch performance. The Strained SOI project aims to enhance electron mobility through strain engineering by integrating a novel SiGe-based stressor method that introduces significant tensile stress within the silicon channel. The Channel Orientation project examines electron mobility variations along different crystalline directions (<100> and <110>). For each project, a comprehensive approach was employed which involved the design of experiments to modify fabrication processes and hence devices characteristics, computational modeling to support and predict improvements and help in the understanding of physical and electrical phenomena, and device characterization to gather empirical data
Indrák, Dominik. „Rekonfigurovatelný generátor 5G NR signálů na RFSoC FPGA“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413151.
Der volle Inhalt der QuelleJereb, Alexander Robert. „Design and implementation of a Radio-Frequency detection algorithm for use within A Radio-Frequency System on Chip“. University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1608145466947488.
Der volle Inhalt der QuelleFazzini, Enrico. „frequency-diverse arrays design and control for accurate wireless power transmission“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21111/.
Der volle Inhalt der QuelleLávička, Tomáš. „Klasifikace (in)finitárních logik“. Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-350171.
Der volle Inhalt der QuelleBuchteile zum Thema "Rfsoi"
Klingner, Mathias, Sven Hellbach, Martin Riedel, Marika Kaden, Thomas Villmann und Hans-Joachim Böhme. „RFSOM – Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation“. In Advances in Self-Organizing Maps and Learning Vector Quantization, 157–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07695-9_15.
Der volle Inhalt der QuelleBergamaschi Luca und Martínez Ángeles. „Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing“. In Advances in Parallel Computing. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-843-3-107.
Der volle Inhalt der Quelle„RFSI)ONI}ING TO THE ENVIRONMENT“. In Making Sense of Secondary Science, 86–88. Routledge, 2004. http://dx.doi.org/10.4324/9780203978016-26.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Rfsoi"
Pei, Xiaoqing, Xu Zhu, Hanzhong Xu und Xudong Wang. „Integrated Balun Balance Improving Method in Advanced RFSOI Process“. In 2024 Asia-Pacific Microwave Conference (APMC), 414–16. IEEE, 2024. https://doi.org/10.1109/apmc60911.2024.10867687.
Der volle Inhalt der QuelleJain, Sameer H., R. Mullapudi, K. Shanbhag, T. Ethirajan, Y. Hu, Y. Li, T. Chowdhury et al. „A new 45nm RFSOI Technology Optimized for Low Power, High Performance mmWave Applications“. In 2024 19th European Microwave Integrated Circuits Conference (EuMIC), 102–5. IEEE, 2024. http://dx.doi.org/10.23919/eumic61603.2024.10732257.
Der volle Inhalt der QuelleBordignon, Thomas, Luca Lucci, Thibaud Fache, Clément Pribat, Magali Grégoire, Adrien Estellon, Frédéric Monsieur et al. „Enhanced RF Switch Performance in RFSOI Technology: Achieving 74 fs RON·COFF and 3.3 V RFVMAX on Thinned SOI“. In 2024 IEEE European Solid-State Electronics Research Conference (ESSERC), 448–51. IEEE, 2024. http://dx.doi.org/10.1109/esserc62670.2024.10719593.
Der volle Inhalt der QuelleKovacs, Gergo, Raluca Nelega, Alexandru Oprea, Radu Voina, Romulus Valeriu Flaviu Turcu und Emanuel Puschita. „Custom-Designed Signal Processing Application for RFSoC FPGA Platform“. In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–6. IEEE, 2024. http://dx.doi.org/10.23919/softcom62040.2024.10721695.
Der volle Inhalt der QuelleYuan, Yue, Jianyong Tu, Lin Lu und Si Chen. „Design of Cognitive Radio Hardware Platform Based on RFSoC“. In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP), 1515–19. IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743654.
Der volle Inhalt der QuelleDai, GanE, und Pengfei Xie. „Optimization of DMA Operations for RFSOC in Radar Systems“. In 2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS), 677–80. IEEE, 2024. https://doi.org/10.1109/eiecs63941.2024.10800299.
Der volle Inhalt der QuelleGartmann, Robert, Valentin Stumpert, Lukas Scheller, Richard Weller, Luis E. Ardila-Perez und Oliver Sander. „Mixerless RFSoC Microwave Signal Generation for Superconducting Circuit Applications“. In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 565–66. IEEE, 2024. https://doi.org/10.1109/qce60285.2024.10407.
Der volle Inhalt der QuelleYang, Jinmo, Jun-Ho Choi, Juhyun Yoon, Il-Tak Han, Tae-Wan Kim, Ho-Sang Kwon und Seon-Jin Oh. „A Transmit/Receive Digital Processor with RFSoC for Array Antenna Systems“. In 2024 21st European Radar Conference (EuRAD), 220–23. IEEE, 2024. http://dx.doi.org/10.23919/eurad61604.2024.10734925.
Der volle Inhalt der QuelleUllah, Kefayet, Satheesh Bojja Venkatakrishnan und John L. Volakis. „Experimental Validation of A RFSoC FPGA-Based Single-Chip Digital-RF Radio“. In 2023 URSI International Symposium on Electromagnetic Theory (EMTS), 224–26. IEEE, 2023. https://doi.org/10.1109/emts57498.2023.10925267.
Der volle Inhalt der QuelleKarle, Christian, Marc Neu, Benjamin Nuss, Lukas Witte, Andre Scheder, Eva Waldner, Ema Shkurtaj, Tanja Harbaum und Jürgen Becker. „Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6G“. In 2024 IEEE 37th International System-on-Chip Conference (SOCC), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/socc62300.2024.10737777.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Rfsoi"
Diehl, William, und Edward Viveiros. Xilinx RF System-on-Chip (RFSoC) 100 Gigabit Ethernet Loop-back Demonstration. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, Januar 2022. http://dx.doi.org/10.21236/ad1156777.
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