Gotowa bibliografia na temat „MIMO”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „MIMO”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "MIMO"
Sharma, 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 źródłaFuruya, Toshiki, Mika Hayashi i Kuniki Kino. "Reconstitution of Active Mycobacterial Binuclear Iron Monooxygenase Complex in Escherichia coli". Applied and Environmental Microbiology 79, nr 19 (26.07.2013): 6033–39. http://dx.doi.org/10.1128/aem.01856-13.
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 źródłaSamardžić, Biljana, i Bojana Zlatković. "MODIFIED PYRAGAS METHOD FOR MULTIPLE SPATIAL LIMIT SETS AND CHAOS CONTROL IN MIMO CASCADE NONLINEAR SYSTEMS". Facta Universitatis, Series: Automatic Control and Robotics 17, nr 3 (8.01.2019): 165. http://dx.doi.org/10.22190/fuacr1803165s.
Pełny tekst źródłaLiu, Lingjia, Runhua Chen, Stefan Geirhofer, Krishna Sayana, Zhihua Shi i Yongxing Zhou. "Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO". IEEE Communications Magazine 50, nr 2 (luty 2012): 140–47. http://dx.doi.org/10.1109/mcom.2012.6146493.
Pełny tekst źródłaOhtsuki, Tomoaki. "MIMO". Journal of The Institute of Image Information and Television Engineers 60, nr 11 (2006): 1766–68. http://dx.doi.org/10.3169/itej.60.1766.
Pełny tekst źródłaHandel, Peter, i Daniel Ronnow. "MIMO and Massive MIMO Transmitter Crosstalk". IEEE Transactions on Wireless Communications 19, nr 3 (marzec 2020): 1882–93. http://dx.doi.org/10.1109/twc.2019.2959534.
Pełny tekst źródłaБашкиров, А. В., И. В. Свиридова i М. В. Хорошайлова. "USING NEURAL NETWORKS FOR MIMO DETECTION AND CHANNEL DECODING". ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, nr 3(-) (15.08.2022): 71–77. http://dx.doi.org/10.36622/vstu.2022.18.3.009.
Pełny tekst źródłaMarín-Soler, Adoración, Guillermo Ypiña-García, Álvaro Belda-Sanchiz i Antonio M. Martínez-González. "MIMO Throughput Effectiveness for Basic MIMO OTA Compliance Testing". International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/495329.
Pełny tekst źródłaApsari Yuniari, Ni Putu Eka, Ni Made Ary Esta Dewi Wirastuti i I. G. A. K. Diafari Djuni Hartawan. "PERBANDINGAN PERFORMANSI SISTEM MC-SS MIMO DENGAN OFDM MIMO". Majalah Ilmiah Teknologi Elektro 15, nr 2 (15.12.2016): 7–12. http://dx.doi.org/10.24843/mite.1502.02.
Pełny tekst źródłaRozprawy doktorskie na temat "MIMO"
Ladaycia, Abdelhamid. "Annulation d’interférences dans les systèmes MIMO et MIMO massifs (Massive MIMO)". Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCD037.
Pełny tekst źródłaMIMO systems use sensor arrays that can be of large-scale (massive MIMO) and are seen as a potential candidate for future digital communications standards at very high throughput. A major problem of these systems is the high level of interference due to the large number of simultaneous transmitters. In such a context, ’conventional’ orthogonal pilot design solutions are expensive in terms of throughput, thus allowing for the so-called ’blind’ or ’semi-blind’ channel identification solutions to come back to the forefront as interesting solutions for identifying or deconvolving these MIMO channels. In this thesis, we started with a comparative performance analysis, based on CRB, to quantify the potential size reduction of the pilot sequences when using semi-blind methods that jointly exploit the pilots and data. Our analysis shows that, up to 95% of the pilot samples can be suppressed without affecting the channel estimation performance when such semi-blind solutions are considered. After that, we proposed new methods for semi-blind channel estimation, that allow to approach the CRB. At first, we have proposed a SB estimator, LS-DF which allows a good compromise between performance and numerical complexity. Other SB estimators have also been introduced based on the subspace technique and on the ML approach, respectively. The latter is optimized via an EM algorithm for which three reduced cost versions are proposed. In the case of a specular channel model, we considered a parametric estimation method based on times of arrival estimation combined with the DF technique
Botonjic, Aida. "MIMO kanalmodeler". Thesis, Linköping University, Department of Science and Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2188.
Pełny tekst źródłaThe objective of this diploma work is to investigate a set of Multiple Input Multiple Output (MIMO) channel models compatible with the emerging IEEE 802.11n standard. This diploma work validates also advanced, innovative tools and wireless technologies that are necessary to facilitate wireless applications while maximizing spectral efficiency and throughput.
MIMO channel models can be used to evaluate new Wireless Local Area Network (WLAN) proposals based on multiple antenna technologies.
The purpose of this thesis is to investigate means of channel models and their implementation in different environments such as: Matlab, C++ and Advanced Design Systems (ADS). The investigation considers also a comparison between the channel models based on theoretical data and parameter setup to the channel models based on statistical characteristics obtained from measured data.
Investigation and comparison of a MIMO channel models consider steering channel matrix H, spatial correlation coefficients, power delay profiles, fading characteristics and Doppler power spectrum.
Choi, Lai U. "Multi-user MISO and MIMO transmit signal processing for wireless communication /". View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHOI.
Pełny tekst źródłaIncludes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
Ma, 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.
Janhunen, J. (Janne). "Programmable MIMO detectors". Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514296598.
Pełny tekst źródłaTiivistelmä Usean antennin tekniikka yhdistettynä ortogonaaliseen taajuusvaihtelumodulointiin lähetin-vastaanotimessa on esitetty eräänä lupaavana ratkaisuna jatkuvasti kasvaviin kapasiteetti- ja palvelunlaatuvaatimuksiin langattomissa tietoliikennejärjestelmissä. Tehokas radiospektrin käyttö edellyttää joustavaa lähetin-vastaanotinratkaisua, mikä on ollut syynä ohjelmistoradioteknologioiden kehitykselle. Ohjelmistoradioiden kehityksen on puolestaan odotettu mahdollistavan kognitiiviradioiden syntymisen. Tuloksena, mikä tahansa radiosovellus voitaisiin herättää tarpeen mukaan millä tahansa ohjelmoitavalla sovellusalustalla. Tässä väitöskirjatyössä tutkitaan ilmaisinalgoritmeja sekä ohjelmoitavia prosessoriarkkitehtuureja tarkoituksena löytää käytännöllisiä ratkaisuja tulevaisuuden langattomiin järjestelmiin. Ohjelmoitavalla vastaanottimella voidaan vähentää vastaanottimen energiankulutusta vaihtamalla ilmaisinalgoritmeja vallitsevan kanavatilan mukaan. Työssä esitellään laaja, viimeisintä tutkimusta edustava ilmaisinalgoritmivertailu, joka antaa realistisen näkökannan toteutuksiin erilaisissa kanavatiloissa. Lisäksi työssä esitellään numeroaritmetiikka- ja sananpituustutkimus, jonka tarkoituksena on arvioida toteutusten realistista kovokompleksisuutta sekä energiankulutusta. Tutkimus sisältää kattavan suunnitteluketjun algoritmikehityksestä todelliseen prosessorisuunnitteluun ja lopulta algoritmin ohjelmointiin tietylle sovellusalustalle. Väitöskirjatyössä arvioidaan yksi- ja moniytimisiä prosessoritoteutuksia vertaamalla saavutettuja tuloksia Long Term Evolution -standardin suorituskykyvaatimuksiin. Ilmaisimia toteutetaan digitaalisilla signaaliprosessoreilla, grafiikkaprosessorilla sekä siirtoliipaisuarkkitehtuurilla. Toteutustuloksia vertaillaan laskentatehona, pinta-alana sekä energiatehokkuutena. Lopuksi käsitellään arkkitehtuurien hyviä ja huonoja puolia sekä suunnittelun työläyttä
Basnayaka, Dushyantha. "Macrodiversity MIMO Transceivers". Thesis, University of Canterbury. Electrical and Computer Engineering, 2012. http://hdl.handle.net/10092/7266.
Pełny tekst źródłaXiao, Hui. "MIMO channel modeling". Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479187.
Pełny tekst źródłaKančo, Vít. "Simulace MIMO systémů". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218624.
Pełny tekst źródłaKsiążki na temat "MIMO"
Bartoszewski, Władysław. Mimo wszystko. Warszawa: Dom Wydawniczy PWN, 2013.
Znajdź pełny tekst źródłaGutiérrez, Vicente. Mimo muerto. Madrid: Devenir, 2001.
Znajdź pełny tekst źródłaAfanasʹev, Anatoliĭ. Mimo deneg. Moskva: Martin, 2001.
Znajdź pełny tekst źródłaJadoul, Emile. Mimo exprés. Barcelona: Editorial Corimbo, 2012.
Znajdź pełny tekst źródłaMonteiro, Mário Ypiranga. Dalila (Mimo). Manaus: Editora da Universidade do Amazonas, 1997.
Znajdź pełny tekst źródłaMasarykova univerzita v Brně. Ústav slavistiky, red. Slovensko mimo Slovensko, Slovensko mimo Slovenska: Kolektivní monografie. Brno: Ústav slavistiky Filozofické fakulty Masarykovy univerzity, 2008.
Znajdź pełny tekst źródłaJonathan, Gelabert, red. Desde el camerino: Reflexiones sobre el (silencioso) arte del mimo. [S.l.]: [El autor], 2011.
Znajdź pełny tekst źródłaBerger, I͡Akov. Mimo minuty: Aforizmy. London, Anglii͡a: Y. Berger, 1987.
Znajdź pełny tekst źródłaKumar, Yadwinder, Shrivishal Tripathi i Balwinder Raj. Multifunctional MIMO Antennas. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003290230.
Pełny tekst źródłaHalpern, Justin. Vse telki mimo. Moskva: CORPUS, 2013.
Znajdź pełny tekst źródłaCzęści książek na temat "MIMO"
Ovchinnikov, Andrei, i Sergei Semenov. "MIMO". W Modulation and Coding Techniques in Wireless Communications, 301–49. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470976777.ch8.
Pełny tekst źródłaAbbas, Karim. "MIMO". W From Algorithms to Hardware Architectures, 297–343. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08693-9_9.
Pełny tekst źródłaRao, K. Deergha. "MIMO System". W Channel Coding Techniques for Wireless Communications, 385–421. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0561-4_11.
Pełny tekst źródłaSeron, María M., Julio H. Braslavsky i Graham C. Goodwin. "MIMO Control". W Communications and Control Engineering, 85–117. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0965-5_4.
Pełny tekst źródłaSeron, María M., Julio H. Braslavsky i Graham C. Goodwin. "MIMO Filtering". W Communications and Control Engineering, 197–209. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0965-5_9.
Pełny tekst źródłaFang, 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 źródłaBarry, John R., Edward A. Lee i David G. Messerschmitt. "MIMO Communications". W Digital Communication, 461–536. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0227-2_10.
Pełny tekst źródłaLarsson, Erik G., i Emil Björnson. "Massive MIMO". W Encyclopedia of Wireless Networks, 771–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_136.
Pełny tekst źródłaZhang, Jun. "Network MIMO". W Encyclopedia of Wireless Networks, 983–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_138.
Pełny tekst źródłaBai, Lin, Tian Li i Quan Yu. "MIMO Detection". W Encyclopedia of Wireless Networks, 843–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_139.
Pełny tekst źródłaStreszczenia konferencji na temat "MIMO"
"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 źródła"Antennas’ Correlation Influence on the GMD-assisted MIMO Channels Performance". W Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005363603250334.
Pełny tekst źródła"Efficient Soft-output Detectors - Multi-core and GPU implementations in MIMOPack Library". W Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005369503350344.
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 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 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 źródłaWirnitzer, W. "Broadband vector channel sounder for MIMO channel measurement". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010207.
Pełny tekst źródłaJungnickel, V. "A MIMO WLAN based on linear channel inversion". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010210.
Pełny tekst źródłaJorswieck, E. "Inverse eigenvalue statistics for Rayleigh and Rician MIMO channels". W IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010193.
Pełny tekst źródłaRaporty organizacyjne na temat "MIMO"
Rabideau, D. J. MIMO Radar Aperture Optimization. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2011. http://dx.doi.org/10.21236/ada536191.
Pełny tekst źródłaKantor, J. M., i S. K. Davis. Airborne MIMO GMTI Radar. Fort Belvoir, VA: Defense Technical Information Center, marzec 2011. http://dx.doi.org/10.21236/ada540557.
Pełny tekst źródłaBadiey, 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 źródłaHaimovich, Alex. Advanced Techniques for MIMO Broadband Communications. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2005. http://dx.doi.org/10.21236/ada449036.
Pełny tekst źródłaZhu, Weijun, i Babak Daneshrad. Throughput Optimization Via Adaptive MIMO Communications. Fort Belvoir, VA: Defense Technical Information Center, maj 2006. http://dx.doi.org/10.21236/ada451674.
Pełny tekst źródłaYang, Liuqing, i Jian Li. MIMO-UAC for Rate Enhancement and Range Extension. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2008. http://dx.doi.org/10.21236/ada491511.
Pełny tekst źródłaLi, Jian. Robust High Data Rate MIMO Underwater Acoustic Communications. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2010. http://dx.doi.org/10.21236/ada535636.
Pełny tekst źródłaLi, Jian. Robust High Data Rate MIMO Underwater Acoustic Communications. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2011. http://dx.doi.org/10.21236/ada551223.
Pełny tekst źródłaLi, Jian. Multi-Input Multi-Output (MIMO) Radar - Diversity Means Superiority. Fort Belvoir, VA: Defense Technical Information Center, październik 2008. http://dx.doi.org/10.21236/ada487209.
Pełny tekst źródłaHaimovich, Alexander M. MIMO Radar: A Multi-Sensor Spatially Diverse Radar Architecture. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2008. http://dx.doi.org/10.21236/ada495118.
Pełny tekst źródła