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Letteratura scientifica selezionata sul tema "MIMO systems"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "MIMO systems"

Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "OVERVIEW OF RF COMMUNICATION FROM SISO SYSTEMS TO MIMO SYSTEMS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 13–18. https://doi.org/10.5281/zenodo.10752074.

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Abstract:  The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1st generation today we talk about digital communication in 4th generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems known as MISO systems

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Joshi, Dr Shreedhar A. "Multi-User MIMO Systems." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (2016): 193–96. http://dx.doi.org/10.9756/bijsesc.8275.

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Swapna, Sonti. "Channel Estimation for MIMO Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 201–4. http://dx.doi.org/10.22214/ijraset.2022.39776.

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Abstract: A combination of multiple-input multiple-output (MIMO) systems and orthogonal frequency division multiplexing (OFDM) technologies can be employed in modern wireless communication systems to achieve high data rates and improved spectrum efficiency. For multiple input multiple output (MIMO) systems, this paper provides a Rayleigh fading channel estimation technique based on pilot carriers. The channel is estimated using traditional Least Square (LS) and Minimum Mean Square (MMSE) estimation techniques. The MIMO-OFDM system's performance is measured using the Bit Error Rate (BER) and Me

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "EQUALIZATION SCHEMES IN MIMO RF COMMUNICATION: A PERFORMANCE ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 44–50. https://doi.org/10.5281/zenodo.10752554.

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Abstract:  The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1st generation today we talk about digital communication in 4th generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "ZFE AND MMSE SCHEMES FOR MIMO COMMUNICATION SYSTEMS : AN ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 37–43. https://doi.org/10.5281/zenodo.10752418.

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Abstract:  MIMO systems are very important technological advancements with respect to the third generation and fourth generation’s wireless networks for RF communication. There are multiple equalization schemes for MIMO systems and two very important of them are ZFE and MMSE. In this paper we are analyzing the performance of both the schemes in different conditions. Index terms- MIMO, SISO, SIMO, MISO, MMSE, ZFE.

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Remlein, Piotr. "Multiuser cpm transmission for mimo systems." Image Processing & Communications 18, no. 4 (2013): 59–65. http://dx.doi.org/10.2478/v10248-012-0093-0.

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Abstract Frequency-Division Multiplexed Continuous Phase Modulation (FDM-CPM) systems with Multiple Input Multiple Output (MIMO) transmission are investigated. In this paper, a multiuser reception scheme for CPM MIMO transmission is presented. The analyzed system is designed to achieve high spectral efficiency by exploiting the multiplexing gain of MIMO techniques. To take advantage of the multiplexing gain of MIMO systems, a Zero Forcing (ZF) MIMO detector and a low-complexity iterative algorithm for Inter- Carrier Interference (ICI) cancellation are considered. Numerical simulations have bee

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Kumar Sarangi, Ashish, Amrit Mukherjee, and Amlan Datta. "Capacity comparison of MIMO and cooperative MIMO." International Journal of Engineering & Technology 7, no. 1.1 (2017): 638. http://dx.doi.org/10.14419/ijet.v7i1.1.10794.

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To achieve high capacity and high data rates is the main requirement for today’s generation. This paper studies about the performance and capacity comparison of MIMO and cooperative MIMO systems. The comparison of capacity between multiple- input- multiple- output (MIMO) and cooperative MIMO systems helps us to know that which system have better performance and better capacity. The simulation results shows that among SISO, SIMO, MISO and MIMO system the capacity of MIMO will be better but in between MIMO and cooperative MIMO, Cooperative MIMO system have high capacity than MIMO systems.

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Mohammed A. Ali, Musaab, and Volodymyr Vodichev. "MODELING OF MIMO SYSTEMS WITH UNIVERSAL CONTROLLER." ELECTRICAL AND COMPUTER SYSTEMS 37, no. 113 (2023): 26–32. http://dx.doi.org/10.15276/eltecs.37.113.2023.03.

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Abstract. The control of multi-input multi-output (MIMO) systems poses significant challenges due to the intricate dynamics and interactions between multiple input and output channels. This paper presents a simulation study on MIMO systems control using the universal control technique. The proposed method offers a versatile framework for regulating MIMO systems with varying dynamics, utilizing a single control algorithm. The underlying concept of the universal control law is to devise a set of principles or strategies that can be universally applied to any system, regardless of its specific ch

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Zhang, Donghui. "Signal Processing Methods in MIMO Communication Systems." Highlights in Science, Engineering and Technology 124 (February 18, 2025): 326–31. https://doi.org/10.54097/dy7y1t24.

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This paper delves into the latest advancements and hurdles in Multi-Input Multi-Output (MIMO) technology, particularly in the realm of 5G and future networks. Initially, it examines the fusion of Non-Orthogonal Multiple Access (NOMA) with MIMO, emphasizing its crucial role in user grouping, beam steering, and power distribution strategies. Subsequently, the research explores progress in massive MIMO systems, concentrating on signal processing methods that improve spectral efficiency and system performance in sparse scattering contexts. The paper also reviews sophisticated signal processing app

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Hwang, Inho, Han Park, and Jeong Lee. "LDPC Coded Massive MIMO Systems." Entropy 21, no. 3 (2019): 231. http://dx.doi.org/10.3390/e21030231.

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We design a coded massive multiple-input multiple-output (MIMO) system using low-density parity-check (LDPC) codes and iterative joint detection and decoding (JDD) algorithm employing a low complexity detection. We introduce the factor graph representation of the LDPC coded massive MIMO system, based on which the message updating rule in the JDD is defined. We devise a tool for analyzing extrinsic information transfer (EXIT) characteristics of messages flowing in the JDD and the three-dimensional (3-D) EXIT chart provides a visualization of the JDD behavior. Based on the proposed 3-D EXIT anal

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Tesi sul tema "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.

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The 5th generation mobile telecommunication system (5G) is currently being specified and developed, with large expectations on throughput and efficiency. While 4G and more specifically LTE might constitute a basis of the design of the network, there are some parts that should be improved. One thing to improve is the static signalling that occurs very frequently in a 4G network, of which system information such as synchronization signals, detection of network frequencies, operators, configurations etc. is a part. It has been shown that the static signalling requires both much energy and time-fr

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Chen, Danshan. "Precoding for MIMO systems." Thesis, University of York, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535046.

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Bennia, Abdelhak. "Mimo systems parameters identification." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.

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In 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

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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.

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Multiple Input Multiple Output (MIMO) systems use multiple transmit and receive antennas to achieve higher data rates by transmitting multiple independent data systems. Transmission errors can be reduced by using Hybrid Automatic Repeat request (HARQ) combining techniques with MIMO systems. In this thesis, the use of HARQ for MIMO multi-hop communication is studied. We propose two MIMO HARQ combining methods which are based on using pre-combiningonly and a joint pre and post combining techniques. In addition to conventional single-hop transmission, HARQ schemes for MIMO multi-hop relay systems

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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.

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Ma, Shaodan, and 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.

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Negrão, 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.

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Ao longo deste trabalho, problemas relacionados aos sistemas de comunicação equipados com múltiplas antenas no transmissor e receptor (MIMO - Multiple- Input Multiple-Output) são analisados sob o ponto de vista de detecção clássica, da otimização não-linear, bem como da pré-codificação linear, desde MIMO convencional (algumas antenas no Tx e Rx) até sistemas MIMO de larga-escala (massivo). Inicialmente, a eficiência de detecção de vários detectores MIMO foi analisada sob a prerrogativa de canais altamente correlacionados, situação em que sistemas MIMO apresentam elevada perda de desempenho, al

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Gonzalez, Perez Miryam Guadalupe. "Scaling up virtual MIMO systems." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31321.

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Multiple-input multiple-output (MIMO) systems are a mature technology that has been incorporated into current wireless broadband standards to improve the channel capacity and link reliability. Nevertheless, due to the continuous increasing demand for wireless data traffic new strategies are to be adopted. Very large MIMO antenna arrays represents a paradigm shift in terms of theory and implementation, where the use of tens or hundreds of antennas provides significant improvements in throughput and radiated energy efficiency compared to single antennas setups. Since design constraints limit the

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Liu, Di. "Tensor precoding for MIMO systems." Thesis, University of York, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546819.

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Wu, Zhuo. "MIMO techniques in cellular systems." Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423603.

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Libri sul tema "MIMO systems"

Bessai, Horst J. MIMO Signals and Systems. Springer US, 2005. http://dx.doi.org/10.1007/b139100.

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Ezio, Biglieri, ed. MIMO wireless communications. Cambridge University Press, 2007.

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Kaiser, Thomas. Ultra wideband systems with MIMO. Wiley, 2010.

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Duman, Tolga M. Coding for MIMO communication systems. J. Wiley & Sons, 2007.

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CEng, Azlina Idris, Aidatul Julia Abd Jabar, and Wan Norsyafizan W. Muhamad. MIMO-OFDM Systems with Diversity Technique. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1001-3.

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Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Wiley, 2010.

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Kalis, Antonis, Athanasios G. Kanatas, and Constantinos B. Papadias, eds. Parasitic Antenna Arrays for Wireless MIMO Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7999-4.

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1968-, Tsoulos George V., ed. MIMO system technology for wireless communications. Taylor & Francis, 2006.

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Li, Jian. MIMO radar signal processing. J. Wiley & Sons, 2008.

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Li, Jian. MIMO radar signal processing. J. Wiley & Sons, 2008.

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Capitoli di libri sul tema "MIMO systems"

Fang, Song, Jie Chen, and Hideaki Ishii. "MIMO Systems." In Towards Integrating Control and Information Theories. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49289-6_7.

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Tölli, Antti, Petri Komulainen, Federico Boccardi, Mats Bengtsson, and Afif Osseiran. "Multiuser MIMO Systems." In Mobile and Wireless Communications for IMT-Advanced and Beyond. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976431.ch5.

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Sato, Motoyuki, Weike Feng, Yuta Izumi, and Amila Karunathilake. "MIMO Radar Systems." In Ground Based Synthetic Aperture Radar. CRC Press, 2024. http://dx.doi.org/10.1201/9781003316312-6.

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Chen, Shun-Ping, and Heinz Schmiedel. "MIMO Antenna Systems." In RF Antenna Beam Forming. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21765-4_6.

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Gregorio, Fernando, Gustavo González, Christian Schmidt, and Juan Cousseau. "Massive MIMO Systems." In Signal Processing Techniques for Power Efficient Wireless Communication Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_8.

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Chen, Shun-Ping, and Heinz Schmiedel. "MIMO Antenna Systems." In RF Antenna Beam Forming. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-67081-7_6.

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Terré, Michel, Mylène Pischella, and Emmanuelle Vivier. "MIMO and Beamforming." In Wireless Telecommunication Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118625422.ch5.

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Song, Yongduan, Kai Zhao, and Hefu Ye. "Control of MIMO Systems." In Control of Nonlinear Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003474364-7.

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Speidel, Joachim. "MIMO Systems with Precoding." In Signals and Communication Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_22.

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Speidel, Joachim. "MIMO Systems with Precoding." In Signals and Communication Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_18.

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Atti di convegni sul tema "MIMO systems"

Melchior, P., C. Inarn, and A. Oustaloup. "Path Tracking Design by Fractional Prefilter Extension to Square MIMO Systems." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87550.

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The aim of this paper concerns motion control and robust path tracking. An approach based on fractional prefilter synthesis was already developed. It allows tracking optimization according to the fractional derivation order, the actuators physical constraints and the control loop frequency bandwidth. The purpose of this paper is the extension of this approach to multivariable systems. A non integer prefilter synthesis methodology for square MIMO systems (Multi-Input, Multi-Output) is presented. It is based on the MIMO-QFT robust synthesis methodology, taking into account of the plant uncertain

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"Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization." In Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005265403170324.

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Pupolin, Silvano. "MIMO systems." In 2012 IEEE First AESS European Conference on Satellite Telecommunications (ESTEL). IEEE, 2012. http://dx.doi.org/10.1109/estel.2012.6400139.

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Ait-Idir, Tarik. "Session details: MIMO systems III (MIMO Systems symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. ACM, 2009. http://dx.doi.org/10.1145/3251290.

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Wang, Cheng-Xiang. "Session details: MIMO systems I (MIMO Systems symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. ACM, 2009. http://dx.doi.org/10.1145/3251268.

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Vasilakos, Athanasios (Thanos). "Session details: MIMO systems II (MIMO Systems symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. ACM, 2009. http://dx.doi.org/10.1145/3251278.

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Thoma, R. S. "MIMO measurement for double-directional channel modelling." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010191.

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Burr, A. "Capacity of adaptive MIMO systems in a finite scattering channel." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010214.

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Wales, S. W. "A MIMO technique within the UTRA TDD standard." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010200.

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Lohse, N. "MIMO signal description for spatial-variant filter generation." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010206.

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Rapporti di organizzazioni sul tema "MIMO systems"

Badiey, Mohsen, Aijun Song, and Arthur Trembanis. MIMO Transceiver Systems on AUVs. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532962.

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Saeed, Muhammad Kamran. Pilot Contamination and Channel Estimation In Massive MIMO Systems. Iowa State University, 2024. http://dx.doi.org/10.31274/cc-20240624-1126.

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Tatlicioglu, Enver, Bin Xian, Darren M. Dawson, and Timothy Burg. Adaptive Control of Flat MIMO Nonlinear Systems with Additive Disturbance. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462618.

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Garcia-Sanz, Mario, and Carlos Molins. Advanced Quantitative Robust Control Engineering: New Solutions for Automatic Loop-Shaping for SISO and MIMO Systems. Part 1: SISO Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada521387.

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Wen, Qingsong, Minzhen Ren, and Xiaoli Ma. Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada586964.

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Bernhard, Jennifer T. Enabling Technology for Multiple Input Multiple Output (MIMO) Systems on Mobile Military Platforms: Antennas, Switches, and Packaging. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada544844.

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Anderson, James H. Mechanisms for Scalable Object Sharing in MIMD Multiprocessing Systems. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada357996.

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Kovitz, B. MIME Media Type for the Systems Biology Markup Language (SBML). RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3823.

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Allen, S., and D. Wells. MIME Sub-type Registrations for Flexible Image Transport System (FITS). RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4047.

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Seel, Joachim, Joseph Rand, Will Gorman, et al. Generator Interconnection Cost Analysis in the Midcontinent Independent System Operator (MISO) territory. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1891311.

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