Relevant bibliographies by topics / MIMO decoder

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  2. Dissertations / Theses
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Academic literature on the topic 'MIMO decoder'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "MIMO decoder"

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Alghoniemy, Masoud, and Ahmed H. Tewfik. "MIMO Cube Decoder." Journal of Communications Software and Systems 7, no. 3 (2011): 104. http://dx.doi.org/10.24138/jcomss.v7i3.176.

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An insight on the lattice decoder for flat-fading multiple antenna wireless communications systems is presented in this paper. In particular, we show that by formulating the decoding problem as a bounded-error subset selection, theresultant decoder finds the nearest lattice point to the received signal vector such that the search is bounded inside a hypercube centered at the received vector. The dimensions and orientation of the hypercube can be adjusted based on the diversity of the channel in order to improve its performance. The search for the nearest codeword to the received signal vector
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Mao, Yun, Ying Guo, Jun Peng, Xueqin Jiang, and Moon Ho Lee. "Double-Layer Low-Density Parity-Check Codes over Multiple-Input Multiple-Output Channels." International Journal of Antennas and Propagation 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/716313.

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We introduce a double-layer code based on the combination of a low-density parity-check (LDPC) code with the multiple-input multiple-output (MIMO) system, where the decoding can be done in both inner-iteration and outer-iteration manners. The present code, called low-density MIMO code (LDMC), has a double-layer structure, that is, one layer defines subcodes that are embedded in each transmission vector and another glues these subcodes together. It supports inner iterations inside the LDPC decoder and outeriterations between detectors and decoders, simultaneously. It can also achieve the desire
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Harbi, Yahya, ALI AL-JANABI, Hayder Almusa, Marwa Chafii, and Alister Burr. "Iterative Interference Cancellation for Multi-Carrier Modulation in MIMO-DWT Downlink Transmission." Journal of Telecommunications and the Digital Economy 9, no. 4 (2021): 75–87. http://dx.doi.org/10.18080/jtde.v9n4.426.

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The Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) scheme represents the dominant radio interface for broadband multicarrier communication systems. However, with insufficient Cyclic Prefixes (CP), Inter-Symbol Interference (ISI) and Inter-Carrier Interference (ICI) occur due to the time-varying multipath channel. This means that the performance of the system will be degraded. In this paper, we investigate the interference problem for a MIMO Discrete Wavelet Transform (MIMO-DWT) system under the effect of the downlink LTE channel. A Low-Density Parity-Chec
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Ali, Sajid, Sara Shakil Qureshi, and Syed Ali Hassan. "Quaternion Codes in MIMO System of Dual-Polarized Antennas." Applied Sciences 11, no. 7 (2021): 3131. http://dx.doi.org/10.3390/app11073131.

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The use of quaternion orthogonal designs (QODs) to describe point-to-point communication among dual-polarized antennas has the potential to provide higher rate orthogonal and quasi-orthogonal complex designs exploiting polarization diversity among space and time diversities. Furthermore, it is essential to have a space time block code (STBC) which offers a linear and decoupled decoder which quasi-orthogonal designs fail to attain. In this paper, we show how the realm of quaternions unexpectedly offers us a possible solution and codes obtained from quaternion designs mostly achieve both linear
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El Chall, Rida, Fabienne Nouvel, Maryline Hélard, and Ming Liu. "Performance and Complexity Evaluation of Iterative Receiver for Coded MIMO-OFDM Systems." Mobile Information Systems 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/7642590.

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Multiple-input multiple-output (MIMO) technology in combination with channel coding technique is a promising solution for reliable high data rate transmission in future wireless communication systems. However, these technologies pose significant challenges for the design of an iterative receiver. In this paper, an efficient receiver combining soft-input soft-output (SISO) detection based on low-complexity K-Best (LC-K-Best) decoder with various forward error correction codes, namely, LTE turbo decoder and LDPC decoder, is investigated. We first investigate the convergence behaviors of the iter
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Samer, Alabed. "A computationally efficient detector for MIMO systems." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4138–46. https://doi.org/10.11591/ijece.v9i5.pp4138-4146.

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AIn this work, a newly designed multiple-input multiple-output (MIMO) detector for implementation on software-defined-radio platforms is proposed and its performance and complexity are studied. In particular, we are interested in proposing and evaluating a MIMO detector that provides the optimal trade-off between the decoding complexity and bit error rate (BER) performance as compared to the state of the art detectors. The proposed MIMO decoding technique appears to find the optimal compromise between competing interests encountered in the implementation of advanced MIMO detectors in practical
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Jiménez-Pacheco, Alberto, Ángel Fernández-Herrero, and Javier Casajús-Quirós. "Design and Implementation of a Hardware Module for MIMO Decoding in a 4G Wireless Receiver." VLSI Design 2008 (January 31, 2008): 1–8. http://dx.doi.org/10.1155/2008/312614.

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Future 4th Generation (4G) wireless multiuser communication systems will have to provide advanced multimedia services to an increasing number of users, making good use of the scarce spectrum resources. Thus, 4G system design should pursue both higher-transmission bit rates and higher spectral efficiencies. To achieve this goal, multiple antenna systems are called to play a crucial role. In this contribution we address the implementation in FPGAs of a multiple-input multiple-output (MIMO) decoder embedded in a prototype of a 4G mobile receiver. This MIMO decoder is part of a multicarrier code-d
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Cerato, Barbara, Guido Masera, and Emanuele Viterbo. "Enabling VLSI Processing Blocks for MIMO-OFDM Communications." VLSI Design 2008 (March 24, 2008): 1–10. http://dx.doi.org/10.1155/2008/351962.

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Multi-input multi-output (MIMO) systems combined with orthogonal frequency-division multiplexing (OFDM) gained a wide popularity in wireless applications due to the potential of providing increased channel capacity and robustness against multipath fading channels. However these advantages come at the cost of a very high processing complexity and the efficient implementation of MIMO-OFDM receivers is today a major research topic. In this paper, efficient architectures are proposed for the hardware implementation of the main building blocks of a MIMO-OFDM receiver. A sphere decoder architecture
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Marosits, Ádám, Zsolt Tabi, Zsófia Kallus, Péter Vaderna, István Gódor, and Zoltán Zimborás. "Exploring Embeddings for MIMO Channel Decoding on Quantum Annealers." Infocommunications journal 13, no. 1 (2021): 11–17. http://dx.doi.org/10.36244/icj.2021.1.2.

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Quantum Annealing provides a heuristic method leveraging quantum mechanics for solving Quadratic Unconstrained Binary Optimization problems. Existing Quantum Annealing processing units are readily available via cloud platform access for a wide range of use cases. In particular, a novel device, the D-Wave Advantage has been recently released. In this paper, we study the applicability of Maximum Likelihood (ML) Channel Decoder problems for MIMO scenarios in centralized RAN. The main challenge for exact optimization of ML decoders with ever-increasing demand for higher data rates is the exponenti
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Milford, David, and Magnus Sandell. "Simplified Quantisation in a Reduced-Lattice MIMO Decoder." IEEE Communications Letters 15, no. 7 (2011): 725–27. http://dx.doi.org/10.1109/lcomm.2011.051011.110485.

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Dissertations / Theses on the topic "MIMO decoder"

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Krishnan, Praveen G. "Fast sphere decoder for MIMO systems." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.umr.edu/thesis/pdf/umrthes_09007dcc80318823.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 16, 2007) Includes bibliographical references (p. 38).
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Quesenberry, Joshua Daniel. "Communication Synthesis for MIMO Decoder Matrices." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/51149.

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The design in this work provides an easy and cost-efficient way of performing an FPGA implementation of a specific algorithm through use of a custom hardware design language and communication synthesis. The framework is designed to optimize performance with matrix-type mathematical operations. The largest matrices used in this process are 4x4 matrices. The primary example modeled in this work is MIMO decoding. Making this possible are 16 functional unit containers within the framework, with generalized interfaces, which can hold custom user hardware and IP cores. <p> This framework, which
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Mohammed, Karim Ossama. "A MIMO decoder accelerator for next generation wireless communications." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1875366181&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Patel, Vipul Hiralal. "A system on programmable chip approach for MIMO lattice decoder." ScholarWorks@UNO, 2004. http://louisdl.louislibraries.org/u?/NOD,167.

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Thesis (M.S.)--University of New Orleans, 2004.<br>Title from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Electrical Engineering."--Thesis t.p. Vita. Includes bibliographical references.
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Lim, Melvin Chi Hearn. "Linear Precoder and Decoder Design for the Multiuser MIMO Downlink." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509007.

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Kapfunde, Goodwell. "Near-capacity sphere decoder based detection schemes for MIMO wireless communication systems." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11350.

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The search for the closest lattice point arises in many communication problems, and is known to be NP-hard. The Maximum Likelihood (ML) Detector is the optimal detector which yields an optimal solution to this problem, but at the expense of high computational complexity. Existing near-optimal methods used to solve the problem are based on the Sphere Decoder (SD), which searches for lattice points confined in a hyper-sphere around the received point. The SD has emerged as a powerful means of finding the solution to the ML detection problem for MIMO systems. However the bottleneck lies in the de
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Singh, Arun Kumar. "Le compromis Débit-Fiabilité-Complexité dans les systèmes MMO multi-utilisateurs et coopératifs avec décodeurs ML et Lattice." Thesis, Paris, ENST, 2012. http://www.theses.fr/2012ENST0005/document.

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Dans les télécommunications, le débit-fiabilité et la complexité de l’encodage et du décodage (opération à virgule flottante-flops) sont largement reconnus comme représentant des facteurs limitant interdépendants. Pour cette raison, tout tentative de réduire la complexité peut venir au prix d’une dégradation substantielle du taux d’erreurs. Cette thèse traite de l’établissement d’un compromis limite fondamental entre la fiabilité et la complexité dans des systèmes de communications « outage »-limités à entrées et sorties multiples (MIMO), et ses scénarios point-à-point, utilisateurs multiple,
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Sevelimedu, Veeravalli Vinodh. "Study of MIMO, orthogonal codes and core operator architecture design for ML decoder." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10155.

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<p>In the high-end research process of wireless systems and in the race for the development of the new technologies, MIMO (Multiple Input, Multiple Output) is getting more attention now days. It has a high potential usage in the 3G and 4G communications and beyond. The MIMO based system has got the ability to increase the data throughput in spectrum-limited conditions. With the increase and complexity of wireless applications, the spectrum efficiency improvement in the physical layer will be saturated. MIMO is predicted to be one of the major features for the next generation wireless networkin
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Correia, Tiago Miguel Pina. "FPGA implementation of Alamouti encoder/decoder for LTE." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12679.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>Motivados por transmissões mais rápidas e mais fiáveis num canal sem fios, os sistemas da 4G devem proporcionar processamento de dados mais rápido a baixa complexidade, elevadas taxas de dados, assim como robustez na performance reduzindo também, a latência e os custos de operação. LTE apresenta, na sua camada física, tecnologias como OFDM e MIMO que prometem alcançar elevadas taxas de dados e aumentar a eficiência espectral. Especificamente a camada física do LTE emprega OFDMA para downlink e SC-FDMA para uplink. A tecnologia MIMO per
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El, chall Rida. "Récepteur itératif pour les systèmes MIMO-OFDM basé sur le décodage sphérique : convergence, performance et complexité." Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0019/document.

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Pour permettre l’accroissement de débit et de robustesse dans les futurs systèmes de communication sans fil, les processus itératifs sont de plus considérés dans les récepteurs. Cependant, l’adoption d’un traitement itératif pose des défis importants dans la conception du récepteur. Dans cette thèse, un récepteur itératif combinant les techniques de détection multi-antennes avec le décodage de canal est étudié. Trois aspects sont considérés dans un contexte MIMOOFDM: la convergence, la performance et la complexité du récepteur. Dans un premier temps, nous étudions les différents algorithmes de
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Books on the topic "MIMO decoder"

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Barnard, Nicholas. El libro del bricolaje: Técnicas y diseños para decorar la casa. Ediciones Primera Plana, 2000.

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Book chapters on the topic "MIMO decoder"

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Wang, Hongzhi, Pierre Leray, and Jacques Palicot. "A Reconfigurable Architecture for MIMO Square Root Decoder." In Reconfigurable Computing: Architectures and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802839_40.

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Budihal, Suneeta V., Rashmi Hiremath, and R. M. Banakar. "Performance of Sphere Decoder for MIMO System Using LLL Algorithm." In Lecture Notes in Electrical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_53.

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Guo, Lei, Shirong Zeng, Yong Dou, and Jingfei Jiang. "A Full-Pipelined Architecture of the Schnorr-Euchner MIMO Sphere Decoder." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55038-6_3.

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Gupta, Sakar, and Sunita Gupta. "Complexity Analysis of Multiuser Detection Schemes Based on Sphere Decoder for MIMO Wireless Communication System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5687-1_53.

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Filippi, Morris, Andrea F. Cattoni, Yannick Le Moullec, and Claudio Sacchi. "SDR Implementation of a Low Complexity and Interference-Resilient Space-Time Block Decoder for MIMO-OFDM Systems." In Multiple Access Communications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23795-9_11.

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Jothikumar, Ramya, and Nakkeeran Rangasamy. "Complexity Reduction by Signal Passing Technique in MIMO Decoders." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8563-8_22.

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Abbas, Karim. "Advanced Issues in Migrating to Hardware: MIMO Decoders as Case Studies." In From Algorithms to Hardware Architectures. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08693-9_10.

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Bindu, E., and B. V. R. Reddy. "Optimized Power Allocation in Selective Decode and Forward Cooperative Wireless Relay Communication with MIMO Nodes." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5992-7_8.

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S., Muhammad, Mohamed M., and S. E.-D. "Efficient Implementation of MIMO Decoders." In MIMO Systems, Theory and Applications. InTech, 2011. http://dx.doi.org/10.5772/14536.

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Zhang, Zherui, Changwei Wang, Rongtao Xu, et al. "MIM-HD: Making Smaller Masked Autoencoder Better with Efficient Distillation." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240493.

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Self-supervised learning and knowledge distillation intersect to achieve exceptional performance on downstream tasks across diverse network capacities. This paper introduces MIM-HD, which implements enhancements for masked image modeling (MIM) distillation, in two key aspects. First, a vision transformer head-level relation adaptive distillation approach is proposed, allowing the student to dynamically draw multi-source knowledge from the teacher based on its evolving state, compatible with scenarios where teacher-student transformer block head count differs. Second, to address the overemphasi
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Conference papers on the topic "MIMO decoder"

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Ouertani, Rym, Ghaya Rekaya Ben-Othman, and Jean-Claude Belfiore. "An Adaptive MIMO Decoder." In 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073376.

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Chavali, Nanda Kishore, and B. Kranti Kumar. "A reduced complexity MIMO decoder." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091411.

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Shirwal, Vijaykumar S., and Mahesh S. Chavan. "Implementation aspect of MIMO decoder." In 2014 IEEE Global Conference on Wireless Computing and Networking (GCWCN). IEEE, 2014. http://dx.doi.org/10.1109/gcwcn.2014.7030848.

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Vordonis, Dimitris, and Vassilis Paliouras. "Sphere Decoder for Massive MIMO Systems." In 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). IEEE, 2019. http://dx.doi.org/10.1109/norchip.2019.8906929.

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Kumar, Satish, Anurag Singh, and Rajarshi Mahapatra. "Deep Learning Based Massive-MIMO Decoder." In 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 2019. http://dx.doi.org/10.1109/ants47819.2019.9118152.

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Wang, Hongzhi, Jean-Philippe Delahaye, Pierre Leray, and Jacques Palicot. "Managing dynamic reconfiguration on MIMO Decoder." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370387.

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Zhi Quan, Yuriy Zakharov, and Junruo Zhang. "Multiple phase decoder for MIMO systems." In 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE, 2008. http://dx.doi.org/10.1109/acssc.2008.5074728.

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Mejri, Asma, and Ghaya Rekaya-Ben Othman. "Reduced-Complexity Stack Decoder for MIMO Systems." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7146047.

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Rajeshwari, B., and K. Veena. "MIMO receiver and decoder using vector processor." In TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8228044.

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Shao, Z. Y., S. W. Cheung, and T. I. Yuk. "An optimum Geometric decoder for MIMO systems." In Exhibition, "Innovative Engineering for Sustainable Environment". IEEE, 2009. http://dx.doi.org/10.1109/ieeegcc.2009.5734289.

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