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Artykuły w czasopismach na temat "MIMO systems"
Joshi, Dr Shreedhar A. "Multi-User MIMO Systems". Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31.10.2016): 193–96. http://dx.doi.org/10.9756/bijsesc.8275.
Pełny tekst źródłaSwapna, Sonti. "Channel Estimation for MIMO Systems". International Journal for Research in Applied Science and Engineering Technology 10, nr 1 (31.01.2022): 201–4. http://dx.doi.org/10.22214/ijraset.2022.39776.
Pełny tekst źródłaRemlein, Piotr. "Multiuser cpm transmission for mimo systems". Image Processing & Communications 18, nr 4 (1.12.2013): 59–65. http://dx.doi.org/10.2478/v10248-012-0093-0.
Pełny tekst źródłaKumar Sarangi, Ashish, Amrit Mukherjee i Amlan Datta. "Capacity comparison of MIMO and cooperative MIMO". International Journal of Engineering & Technology 7, nr 1.1 (21.12.2017): 638. http://dx.doi.org/10.14419/ijet.v7i1.1.10794.
Pełny tekst źródłaMohammed A. Ali, Musaab, i Volodymyr Vodichev. "MODELING OF MIMO SYSTEMS WITH UNIVERSAL CONTROLLER". ELECTRICAL AND COMPUTER SYSTEMS 37, nr 113 (30.06.2023): 26–32. http://dx.doi.org/10.15276/eltecs.37.113.2023.03.
Pełny tekst źródłaSharma, Manmohan, Sunny Verma i Shekhar Verma. "Optimization of Cell-Free Massive MIMO System". Journal of Physics: Conference Series 2327, nr 1 (1.08.2022): 012056. http://dx.doi.org/10.1088/1742-6596/2327/1/012056.
Pełny tekst źródłaHwang, Inho, Han Park i Jeong Lee. "LDPC Coded Massive MIMO Systems". Entropy 21, nr 3 (27.02.2019): 231. http://dx.doi.org/10.3390/e21030231.
Pełny tekst źródłaHemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto i Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility". ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, nr 1 (9.07.2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.
Pełny tekst źródłaMorris, M. L., M. A. Jensen i J. W. Wallace. "Superdirectivity in MIMO systems". IEEE Transactions on Antennas and Propagation 53, nr 9 (wrzesień 2005): 2850–57. http://dx.doi.org/10.1109/tap.2005.854530.
Pełny tekst źródłaDai, Jincheng, Kai Niu i Jiaru Lin. "Polar-Coded MIMO Systems". IEEE Transactions on Vehicular Technology 67, nr 7 (lipiec 2018): 6170–84. http://dx.doi.org/10.1109/tvt.2018.2815602.
Pełny tekst źródłaRozprawy doktorskie na temat "MIMO systems"
Sörman, Simon. "System Information Distribution in Massive MIMO Systems". Thesis, Linköpings universitet, Kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129294.
Pełny tekst źródłaChen, Danshan. "Precoding for MIMO systems". Thesis, University of York, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535046.
Pełny tekst źródłaBennia, Abdelhak. "Mimo systems parameters identification". Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.
Pełny tekst źródłaIn this thesis, a presentation of a new canonical representation of multi-input multioutput systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to classical state space representation ls also given.
The importance of the new representation lies in the fact that all unknown parameters and state variables appear linearly multlplied by either external variables (inputs and outputs) that appear in the data record, or by matrices that are only composed of ieroes and ones. This property enables us to perform a joint state and parameters estimation. Moreover, if the noises are gaussian and their statistics are known, an on-line algorithm that involves a standard dlscrete-time time-varying Kalman filter is proposed and used successfully in the estimation of unknown parameters for simulated examples.
Master of Science
Rashid, Imran. "MIMO multi-hop relay systems". Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/mimo-multihop-relay-systems(f8d60fed-c19c-419d-b14f-7defc4721bc3).html.
Pełny tekst źródłaMa, Shaodan. "Semi-blind signal detection for MIMO and MIMO-OFDM systems". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36846569.
Pełny tekst źródłaMa, Shaodan, i 馬少丹. "Semi-blind signal detection for MIMO and MIMO-OFDM systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36846569.
Pełny tekst źródłaNegrão, João Lucas. "Efficient detection : from conventional Mimo to massive Mimo communication systems". Universidade Estadual de Londrina. Centro de Tecnologia e Urbanismo. Programa de Pós-Graduação em Engenharia Elétrica, 2018. http://www.bibliotecadigital.uel.br/document/?code=vtls000218370.
Pełny tekst źródłaThroughout this work, problems related to communication systems equipped with multiple antennas in the transmitter and receiver (MIMO - Multiple-Input Multiple-Output) are analyzed from the point of view of classical detection, nonlinear optimization, as well as linear pre-coding, from conventional MIMO (some Tx and Rx antennas) to large-scale (massive) MIMO systems. Initially, the detection efficiency of several MIMO detectors were analyzed under the prerogative of highly correlated channels, in which situation, MIMO systems present a high loss of performance, and, in some cases, an increasing complexity. Considering this scenario, we have specifically studied the behavior in terms of compromise complexity x bit error rate (BER), for different detection techniques, such as the successive interference cancellation (SIC), lattice reduction (LR), as well as the combination of each of these with linear detection techniques. In this analysis, different uniform antenna structures with uniform linear array (ULA) and planar array array (UPA) were also considered in both transmitter and receiver side. In addition, different number of antennas and order of modulation were also considered. Next, the MIMO detection problem was studied from a nonlinear optimization perspective, specifically aiming to achieve optimum performance. The detection solution with semi-defined relaxation (SDR - it semidefinite relaxation) were analyzed. The SDR-MIMO detector is an efficient approach capable of achieving near-optimal performance, especially for low and medium modulation orders. We focused our efforts on developing a computationally efficient approach for the maximum likelihood (ML) MIMO detection algorithm based on semi-definite programming (SDP) for M-QAM constellations. Finally, we study an optimal power allocation problem aiming to maximizes the sum-rate capacity of a single cell massive MIMO broadcast channel equipped with zero-forcing beamforming (ZFBF) and regularized channel inversion (RCI) precoding at the base station (BS). Our purpose is to investigate this problem in the large-scale system limit, i.e, when the number of users, K, and antennas at the BS, M, tend to infinity with a ratio β = K/M being held constant. We first derive the signal to interference plus noise (SINR) ratio for both chosen precoders. Then we investigate optimal power allocation schemes that maximize the sum-rate per antenna under an average power constraint and we show that the problem is convex and the power allocation follows the well-known Water-Filling strategy. We also studied a problem related to an optimal power allocation at a finite group of clustered users and determine the impact of this scheme in the ergodic sum-rate capacity.
Gonzalez, Perez Miryam Guadalupe. "Scaling up virtual MIMO systems". Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31321.
Pełny tekst źródłaLiu, Di. "Tensor precoding for MIMO systems". Thesis, University of York, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546819.
Pełny tekst źródłaWu, Zhuo. "MIMO techniques in cellular systems". Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423603.
Pełny tekst źródłaKsiążki na temat "MIMO systems"
Bessai, Horst J. MIMO Signals and Systems. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/b139100.
Pełny tekst źródłaEzio, Biglieri, red. MIMO wireless communications. Cambridge: Cambridge University Press, 2007.
Znajdź pełny tekst źródłaKaiser, Thomas. Ultra wideband systems with MIMO. Chichester, West Sussex, U.K: Wiley, 2010.
Znajdź pełny tekst źródłaDuman, Tolga M. Coding for MIMO communication systems. Hoboken, NJ: J. Wiley & Sons, 2007.
Znajdź pełny tekst źródłaCosta, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.
Znajdź pełny tekst źródłaKalis, Antonis, Athanasios G. Kanatas i Constantinos B. Papadias, red. Parasitic Antenna Arrays for Wireless MIMO Systems. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7999-4.
Pełny tekst źródła1968-, Tsoulos George V., red. MIMO system technology for wireless communications. Boca Raton [Fla.]: Taylor & Francis, 2006.
Znajdź pełny tekst źródłaLi, Jian. MIMO radar signal processing. Hoboken, NJ: J. Wiley & Sons, 2008.
Znajdź pełny tekst źródłaLi, Jian. MIMO radar signal processing. Hoboken, NJ: J. Wiley & Sons, 2008.
Znajdź pełny tekst źródłaHuang, Howard C. MIMO for multiuser wireless systems: Theory and applications. New York: Springer, 2008.
Znajdź pełny tekst źródłaCzęści książek na temat "MIMO systems"
Fang, Song, Jie Chen i Hideaki Ishii. "MIMO Systems". W Towards Integrating Control and Information Theories, 113–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49289-6_7.
Pełny tekst źródłaTölli, Antti, Petri Komulainen, Federico Boccardi, Mats Bengtsson i Afif Osseiran. "Multiuser MIMO Systems". W Mobile and Wireless Communications for IMT-Advanced and Beyond, 89–120. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976431.ch5.
Pełny tekst źródłaGregorio, Fernando, Gustavo González, Christian Schmidt i Juan Cousseau. "Massive MIMO Systems". W Signal Processing Techniques for Power Efficient Wireless Communication Systems, 193–216. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_8.
Pełny tekst źródłaChen, Shun-Ping, i Heinz Schmiedel. "MIMO Antenna Systems". W RF Antenna Beam Forming, 103–15. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21765-4_6.
Pełny tekst źródłaTerré, Michel, Mylène Pischella i Emmanuelle Vivier. "MIMO and Beamforming". W Wireless Telecommunication Systems, 129–53. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118625422.ch5.
Pełny tekst źródłaSpeidel, Joachim. "MIMO Systems with Precoding". W Signals and Communication Technology, 233–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_22.
Pełny tekst źródłaSpeidel, Joachim. "MIMO Systems with Precoding". W Signals and Communication Technology, 269–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_18.
Pełny tekst źródłaSong, Yongduan, Kai Zhao i Hefu Ye. "Control of MIMO Systems". W Control of Nonlinear Systems, 127–52. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003474364-7.
Pełny tekst źródłaAhmed, Bannour, i Mohammad Abdul Matin. "ASTC-MIMO to ASTC-MIMO-OFDM System". W Coding for MIMO-OFDM in Future Wireless Systems, 53–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9_5.
Pełny tekst źródłaBai, Lin, i Jinho Choi. "Detection for Underdetermined MIMO Systems". W Low Complexity MIMO Detection, 141–65. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-8583-5_6.
Pełny tekst źródłaStreszczenia konferencji na temat "MIMO systems"
"Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization". W Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005265403170324.
Pełny tekst źródłaMelchior, P., C. Inarn i A. Oustaloup. "Path Tracking Design by Fractional Prefilter Extension to Square MIMO Systems". W ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87550.
Pełny tekst źródłaPupolin, Silvano. "MIMO systems". W 2012 IEEE First AESS European Conference on Satellite Telecommunications (ESTEL). IEEE, 2012. http://dx.doi.org/10.1109/estel.2012.6400139.
Pełny tekst źródłaAit-Idir, Tarik. "Session details: MIMO systems III (MIMO Systems symposium)". W IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251290.
Pełny tekst źródłaWang, Cheng-Xiang. "Session details: MIMO systems I (MIMO Systems symposium)". W IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251268.
Pełny tekst źródłaVasilakos, Athanasios (Thanos). "Session details: MIMO systems II (MIMO Systems symposium)". W IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251278.
Pełny tekst źródłaThoma, R. S. "MIMO measurement for double-directional channel modelling". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010191.
Pełny tekst źródłaBurr, A. "Capacity of adaptive MIMO systems in a finite scattering channel". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010214.
Pełny tekst źródłaWales, S. W. "A MIMO technique within the UTRA TDD standard". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010200.
Pełny tekst źródłaLohse, N. "MIMO signal description for spatial-variant filter generation". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010206.
Pełny tekst źródłaRaporty organizacyjne na temat "MIMO systems"
Badiey, Mohsen, Aijun Song i Arthur Trembanis. MIMO Transceiver Systems on AUVs. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2008. http://dx.doi.org/10.21236/ada532962.
Pełny tekst źródłaSaeed, Muhammad Kamran. Pilot Contamination and Channel Estimation In Massive MIMO Systems. Ames (Iowa): Iowa State University, maj 2024. http://dx.doi.org/10.31274/cc-20240624-1126.
Pełny tekst źródłaTatlicioglu, Enver, Bin Xian, Darren M. Dawson i Timothy Burg. Adaptive Control of Flat MIMO Nonlinear Systems with Additive Disturbance. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada462618.
Pełny tekst źródłaGarcia-Sanz, Mario, i Carlos Molins. Advanced Quantitative Robust Control Engineering: New Solutions for Automatic Loop-Shaping for SISO and MIMO Systems. Part 1: SISO Systems. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2009. http://dx.doi.org/10.21236/ada521387.
Pełny tekst źródłaWen, Qingsong, Minzhen Ren i Xiaoli Ma. Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2011. http://dx.doi.org/10.21236/ada586964.
Pełny tekst źródłaBernhard, Jennifer T. Enabling Technology for Multiple Input Multiple Output (MIMO) Systems on Mobile Military Platforms: Antennas, Switches, and Packaging. Fort Belvoir, VA: Defense Technical Information Center, maj 2011. http://dx.doi.org/10.21236/ada544844.
Pełny tekst źródłaAnderson, James H. Mechanisms for Scalable Object Sharing in MIMD Multiprocessing Systems. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1998. http://dx.doi.org/10.21236/ada357996.
Pełny tekst źródłaKovitz, B. MIME Media Type for the Systems Biology Markup Language (SBML). RFC Editor, czerwiec 2004. http://dx.doi.org/10.17487/rfc3823.
Pełny tekst źródłaAllen, S., i D. Wells. MIME Sub-type Registrations for Flexible Image Transport System (FITS). RFC Editor, kwiecień 2005. http://dx.doi.org/10.17487/rfc4047.
Pełny tekst źródłaSeel, Joachim, Joseph Rand, Will Gorman, Dev Millstein, Ryan Wiser, Will Cotton, Nicholas DiSanti i Kevin Porter. Generator Interconnection Cost Analysis in the Midcontinent Independent System Operator (MISO) territory. Office of Scientific and Technical Information (OSTI), październik 2022. http://dx.doi.org/10.2172/1891311.
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