Auswahl der wissenschaftlichen Literatur zum Thema „Rfsoi“

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Zeitschriftenartikel zum Thema "Rfsoi"

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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.

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We focus on slip line formation and propagation on different types of Si and SOI substrates that underwent high temperature anneals during 65nm RFSOI device fabrication. Different parameters are found to contribute to slip line formation and dislocations propagation, mainly the substrate properties (thickness, layer and oxygen in silicon handle), the temperature gradients and the support between furnace carriers and backsides of substrates. Several parameters contribute to substrate deformation, e.g. the warpage increase. The warp degradation is found to be directly linked to low oxygen concentrations in silicon handle. This understanding is very helpful to introduce and process new substrates in advanced front-end process flows for MOS device fabrication.
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Dai, 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.

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Costa, 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.

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Wu, 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.

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Ergesh, 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.

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Abstract Radio Frequency System on Chip (RFSoC) offers great potential for implementing a complete next generation signal processing system on a single board for radio astronomy. We designed a pulsar digital backend system based on the ZCU111 board. The system uses RFSoC technology to implement digitization, channelization, correlation and high-speed data transmission in the Xilinx ZU28DR device. We have evaluated the performance of the eight 12-bit RF-ADCs, which are integrated in RFSoC, with the maximum sampling rate of 4.096 GSPS. The RF-ADC sampling frequency, channel bandwidth and time resolution can be configured dynamically in our designed system. To verify the system performance, we deployed the RFSoC board on the Nanshan 26 m radio telescope and observed the pulsar signal with a frequency resolution of 1 MHz and time resolution of 64 μs. In the observation test, we obtained pulsar profiles with high signal-to-noise ratio and accurately searched the DM values. The experimental results show that the performance of RF-ADCs, FPGA and CPU cores in RFSoC is sufficient for radio astronomy signal processing applications.
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Park, 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.

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We present a control and measurement setup for superconducting qubits based on the Xilinx 16-channel radio-frequency system-on-chip (RFSoC) device. The proposed setup consists of four parts: multiple RFSoC boards, a setup to synchronize every digital to analog converter (DAC) and analog to digital converter (ADC) channel across multiple boards, a low-noise direct current supply for tuning the qubit frequency, and cloud access for remotely performing experiments. We also designed the setup to be free of physical mixers. The RFSoC boards directly generate microwave pulses using sixteen DAC channels up to the third Nyquist zone, which are directly sampled by its eight ADC channels between the fifth and the ninth zones.
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Axani, 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.

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Abstract Radiation measurement relies on pulse detection, which can be performed using various configurations of high-speed analog-to-digital converters (ADCs) and field-programmable gate arrays (FPGAs). For optimal power consumption, design simplicity, system flexibility, and the availability of DSP slices, we consider the Radio Frequency System-on-Chip (RFSoC) to be a more suitable option than traditional setups. To this end, we have developed custom RFSoC-based electronics and verified its feasibility. The ADCs on RFSoC exhibit a flat frequency response of 1–125 MHz. The root-mean-square (RMS) noise level is 2.1 ADC without any digital signal processing. The digital signal processing improves the RMS noise level to 0.8 ADC (input equivalent 40 μVrms). Baseline correction via digital signal processing can effectively prevent photomultiplier overshoot after a large pulse. Crosstalk between all channels is less than -55 dB. The measured data transfer speed can support up to 32 kHz trigger rates (corresponding to 750 Mbps). Overall, our RFSoC-based electronics are highly suitable for pulse detection, and after some modifications, they will be employed in the Kamioka Liquid Scintillator Anti-Neutrino Detector (KamLAND).
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Ahmed, 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.

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Being geopolitically exposed, the Russian financial sector is vulnerable to various ­uncertainties. The aim of the article is to examine the quantile movements and dynamic connectedness of uncertainty indices with the financial stress index of Russia employing the cross-quantilogram (CQ), recursive cross-quantilogram (R-CQ) and TVP‑VAR dynamic connectedness using monthly data from July 2011 to August 2023. It is found that for Tweeter-based Economic Uncertainty (TEU) and Global Economic Policy Uncertainty (GEPU), there is strong positive dependence on the Russian Financial Stress Index (RFSI) in the bearish states of market in the initial memory, and the strength of this positive spillover effect gradually wilts towards longer memory structures. Unlike the GEPU, Russian Economic Policy Uncertainty (REPU) has long-lasting heterogeneous spillover effects on RFSI. Though there are significant positive, as well as negative, spillover ­effects of Global Geopolitical Risk (GGPR) on RFSI in the initial memory, across the longer­ memory structures these entire heterogeneous effects wash out. However, Russian Geopolitical Risk (RGPR) have long-lasting heterogeneous spillover effects on RFSI, unlike GGPR. GEPU, GGPR and RGPR were the net transmitters while RFSI, TEU and REPU were net receivers of volatility shocks. Since RFSI shows resilience over the long-term horizon to global geopolitics and economic uncertainty, investors are advised to keep patience and hold their capital/investment up to a minimum of 1 year in Russian financial system in order to be rewarded with positive returns.
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Liu, 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.

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The Low-Level RF (LLRF) control circuits of linear accelerators (LINACs) are conventionally realized with heterodyne based architectures, which have analog RF mixers for up and down conversion with discrete data converters. We have developed a new LLRF platform for C-band linear accelerator based on the Frequency System-on-Chip (RFSoC) device from AMD Xilinx. The integrated data converters in the RFSoC can directly sample the RF signals in C-band and perform the up and down mixing digitally. The programmable logic and processors required for signal processing for the LLRF control system are also included in a single RFSoC chip. With all the essential components integrated in a device, the RFSoC-based LLRF control platform can be implemented more cost-effectively and compactly, which can be applied to a broad range of accelerator applications. In this paper, the structure and configuration of the newly developed LLRF platform will be described. The LLRF prototype has been tested with high power test setup with a Cool Cooper Collider (C3) accelerating structure. The LLRF and the solid state amplifier (SSA) loopback setup demonstrated phase jitter in 1 s as low as 115 fs, which is lower than the requirement of C3. The rf signals from the klystron forward and accelerating structure captured with peak power up to 16.45 MW will be presented and discussed.
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Bergamaschi, 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.

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We propose a parallel preconditioner for the Newton method in the computation of the leftmost eigenpairs of large and sparse symmetric positive definite matrices. A sequence of preconditioners starting from an enhanced approximate inverse RFSAI (Bergamaschi and Martínez, 2012) and enriched by a BFGS-like update formula is proposed to accelerate the preconditioned conjugate gradient solution of the linearized Newton system to solveAu=q(u)u,q(u)being the Rayleigh quotient. In a previous work (Bergamaschi and Martínez, 2013) the sequence of preconditioned Jacobians is proven to remain close to the identity matrix if the initial preconditioned Jacobian is so. Numerical results onto matrices arising from various realistic problems with size up to 1.5 million unknowns account for the efficiency and the scalability of the proposed low rank update of the RFSAI preconditioner. The overall RFSAI-BFGS preconditioned Newton algorithm has shown comparable efficiencies with a well-established eigenvalue solver on all the test problems.
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Dissertationen zum Thema "Rfsoi"

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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.

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La technologie RF CMOS, initialement utilisée pour le Bluetooth et le GPS dans les années 1990, est désormais cruciale pour les réseaux cellulaires dans les smartphones, les PC et les modems WiFi. La transition du 4G au 5G a entraîné la nécessité d'améliorations continues des transistors utilisés dans les modules RF Front End, et le développement du 6G nécessite désormais des LNAs et des commutateurs rentables et performants capables de fonctionner dans la gamme de fréquences des ondes millimétriques. L'objectif principal de cette thèse est d'améliorer les indicateurs de performance clés des dispositifs STMicroelectronics CMOS65SOIMMW PDSOI, ce qui signifie réduire RONCOFF tout en maintenant des valeurs RFVMAX élevées pour les transistors de commutation et augmenter fT et fMAX pour les transistors LNA. Cela implique de réduire les capacités parasites et d'améliorer la mobilité des électrons par des modifications du substrat SOI. Trois projets ont été entrepris pour atteindre ces objectifs : ThinSOI, Strained SOI et Channel Orientation. Le projet ThinSOI étudie l'impact de la réduction de l'épaisseur de la couche SOI, typiquement de 75 nm, pour améliorer les capacités parasites et la performance des commutateurs RF. Le projet Strained SOI vise à améliorer la mobilité des électrons grâce à l'ingénierie des contraintes en intégrant une nouvelle méthode de tenseur à base de SiGe qui introduit une contrainte de traction significative dans le canal de silicium. Le projet Channel Orientation examine les variations de la mobilité des électrons selon différentes directions cristallines (<100> et <110>). Pour chaque projet, une approche globale a été employée, impliquant la conception d'expériences pour modifier les processus de fabrication et donc les caractéristiques des dispositifs, la modélisation computationnelle pour soutenir et prédire les améliorations et aider à la compréhension des phénomènes physiques et électriques, et la caractérisation des dispositifs pour recueillir des données empiriques
RF 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
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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.

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This work deal with simulation of basic structure of OFDM modulator and demodulator of the upcoming standard 5G NR. In MATLAB are simulated basic parts including modulation, reference signal inserting, Fourier transform, cyclic prefix inserting, AWGN and multi-path propagation. In this work is proposed implementation of the modulator and demodulator into RFSoC board and his configuration. Designed generator is implemented with the use of STEMLab RedPitaya platform. In Matlab software is generated 5G OFDM signal used to transmitt. Received signal is evaluated in Matlab software.
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Jereb, 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.

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Fazzini, 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/.

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The frequency diversity of the antennas in the radiating system is a powerful strategy, that can lead a big improvement on wireless power transmission applications, but its characterization is merely theoretical in the literature. This work offers a deep and critical numerical analysis of frequency-diverse arrays and shows the advantages of the family with logarithmic distribution of the frequency for radio-frequency energy focusing goals. For the first time, these systems are analyzed through a Harmonic Balance-based simulation combined with the full-wave description of the array made of eight planar monopoles: the rigorous results confirm the potentialities of these complex radiating systems, in particular show how the time-dependency of the radiating mechanism can be favorably deployed. For the first time, an example of practical implementation of an FDA prototype using the SDR technology offered by the Zynq Ultrascale+ RFSoC ZCU111 Evaluation Kit for generation and control of the signals for each radiating element is also given in this work.
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Lávička, Tomáš. „Klasifikace (in)finitárních logik“. Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-350171.

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In this master thesis we investigate completeness theorems in the framework of abstract algebraic logic. Our main interest lies in the completeness with respect to the so called relatively (finitely) subdirectly irreducible models. Notable part of the presented theory concerns the difference between finitary and infinitary logical systems. We focus on the well-known fact that the completeness theorem with respect to relatively (finitely) subdirectly irreducible models can be proven in general for all finitary logics and we discuss the possible of generalizing this theorem even to infinitary logics. We show that there are two interesting inter- mediate properties between this completeness and finitarity, namely (completely) intersection-prime extension properties. Based on these notions we define five classes of logics and propose a new hierarchy of finitary and infinitary logics. As a main contribution of this dissertation we present an example of a logic separat- ing some of these classes. Keywords: Abstract algebraic logic, completeness, relatively (finitely) sub- directly irreducible models, RSI-completeness, RFSI-completeness, (completely) intersection-prime extension property, IPEP, CIPEP.
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Buchteile zum Thema "Rfsoi"

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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.

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Bergamaschi 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.

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The computation of a number of the smallest eigenvalues of large and sparse matrices is crucial in various scientific applications, as the Finite Element solution of PDEs, electronic structure calculations or Laplacian of graphs, to mention a few. We propose in this contribution a parallel algorithm which is based on the spectral low-rank modification of a factorized sparse inverse preconditioner (RFSAI) to accelerate Newton-based iterative eigensolvers. Numerical results onto matrices arising from various realistic problems with size up to 5 million unknowns and 2.2&times;108nonzero elements account for the efficiency and the scalability of the proposed RFSAI&ndash;updated preconditioner.
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„RFSI)ONI}ING TO THE ENVIRONMENT“. In Making Sense of Secondary Science, 86–88. Routledge, 2004. http://dx.doi.org/10.4324/9780203978016-26.

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Konferenzberichte zum Thema "Rfsoi"

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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.

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Jain, 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.

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Bordignon, 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.

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Kovacs, 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.

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Yuan, 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.

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Dai, 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.

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Gartmann, 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.

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Yang, 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.

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Ullah, 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.

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Karle, 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.

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Berichte der Organisationen zum Thema "Rfsoi"

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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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