Relevant bibliographies by topics / Space-time coding

Academic literature on the topic 'Space-time coding'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Space-time coding"

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El Gamal, H., and M. O. Damen. "Universal space-time coding." IEEE Transactions on Information Theory 49, no. 5 (May 2003): 1097–119. http://dx.doi.org/10.1109/tit.2003.810644.

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Hung-Quoc Lai and K. J. R. Liu. "Space-time network coding." IEEE Transactions on Signal Processing 59, no. 4 (April 2011): 1706–18. http://dx.doi.org/10.1109/tsp.2010.2103063.

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Singer, Wolf. "Time as coding space?" Current Opinion in Neurobiology 9, no. 2 (April 1999): 189–94. http://dx.doi.org/10.1016/s0959-4388(99)80026-9.

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Caire, Giuseppe, Petros Elia, and K. Raj Kumar. "Space-Time Coding: an Overview." Journal of Communications Software and Systems 2, no. 3 (April 5, 2017): 212. http://dx.doi.org/10.24138/jcomss.v2i3.284.

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This work provides an overview of the fundamental aspects and of some recent advances in space-time coding (STC). Basic information theoretic results on Multiple-Input Multiple-Output (MIMO) fading channels, pertaining to capacity, diversity, and to the optimal Diversity Multiplexing Tradeoff (DMT), are reviewed. The code design for the quasi-static, outage limited, fading channel is recognized as the most challenging and innovative with respect to traditional “Gaussian” coding. Then, a survey of STC constructions is presented. This culminates with the description of families of codes that are optimal with respect to the DMT criterion and have error performance that is very close to the information theoretic limits. The paper concludes with some important recent topics, including open problems in STC design.
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Huang, Yu-Chih, Yi Hong, Emanuele Viterbo, and Lakshmi Natarajan. "Layered Space-Time Index Coding." IEEE Transactions on Information Theory 65, no. 1 (January 2019): 142–58. http://dx.doi.org/10.1109/tit.2018.2842144.

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Yiu, S., R. Schober, and L. Lampe. "Distributed space-time block coding." IEEE Transactions on Communications 54, no. 7 (July 2006): 1195–206. http://dx.doi.org/10.1109/tcomm.2006.877947.

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Fasano, Antonio, and Sergio Barbarossa. "Trace-Orthogonal Space-Time Coding." IEEE Transactions on Signal Processing 56, no. 5 (May 2008): 2017–34. http://dx.doi.org/10.1109/tsp.2007.909225.

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Cavers, J. K. "Space-time coding using MSK." IEEE Transactions on Wireless Communications 4, no. 1 (January 2005): 185–91. http://dx.doi.org/10.1109/twc.2004.840242.

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Adebanjo, Ibukunoluwa Adetutu, Yekeen Olajide Olasoji, and Micheal Olorunfunmi Kolawole. "Space-Time Trellis Coding with Equalization." European Journal of Engineering Research and Science 4, no. 9 (September 27, 2019): 207–11. http://dx.doi.org/10.24018/ejers.2019.4.9.1412.

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As we are entering the 5G era, high demand is made of wireless communication. Consistent effort has been ongoing in multiple-input multiple-output (MIMO) systems, which provide correlation on temporal and spatial domain, to meet the high throughput demand. To handle the characteristic nature of wireless channel effectively and improve the system performance, this paper considers the combination of diversity and equalization. Space-Time trellis code is combined with single-carrier modulation using two-choice equalization techniques, namely: minimum mean squared error (MMSE) equalizer and orthogonal triangular (QR) detection. MMSE gives an optimal balance between noise enhancement and net inter-symbol interference (ISI) in the transmitted signal. Use of these equalizers provides the platform of investigating the bit error rate (BER) and the pairwise error probability (PEP) at the receiver, as well as the effect of cyclic prefix reduction on the receivers. It was found that the MMSE receiver outperforms the QR receiver in terms of BER, while in terms of PEP; the QR receiver outperforms the MMSE receiver. When a cyclic prefix reduction test was carried out on both receivers, it yields a significant reduction in BER of both receivers but has no significant effect on the overall performance.
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Adebanjo, Ibukunoluwa Adetutu, Yekeen Olajide Olasoji, and Micheal Olorunfunmi Kolawole. "Space-Time Trellis Coding with Equalization." European Journal of Engineering and Technology Research 4, no. 9 (September 27, 2019): 207–11. http://dx.doi.org/10.24018/ejeng.2019.4.9.1412.

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As we are entering the 5G era, high demand is made of wireless communication. Consistent effort has been ongoing in multiple-input multiple-output (MIMO) systems, which provide correlation on temporal and spatial domain, to meet the high throughput demand. To handle the characteristic nature of wireless channel effectively and improve the system performance, this paper considers the combination of diversity and equalization. Space-Time trellis code is combined with single-carrier modulation using two-choice equalization techniques, namely: minimum mean squared error (MMSE) equalizer and orthogonal triangular (QR) detection. MMSE gives an optimal balance between noise enhancement and net inter-symbol interference (ISI) in the transmitted signal. Use of these equalizers provides the platform of investigating the bit error rate (BER) and the pairwise error probability (PEP) at the receiver, as well as the effect of cyclic prefix reduction on the receivers. It was found that the MMSE receiver outperforms the QR receiver in terms of BER, while in terms of PEP; the QR receiver outperforms the MMSE receiver. When a cyclic prefix reduction test was carried out on both receivers, it yields a significant reduction in BER of both receivers but has no significant effect on the overall performance.
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Dissertations / Theses on the topic "Space-time coding"

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Lamahewa, Tharaka Anuradha, and tharaka lamahewa@anu edu au. "Space-Time Coding and Space-Time Channel Modelling for Wireless Communications." The Australian National University. Research School of Information Sciences and Engineering, 2007. http://thesis.anu.edu.au./public/adt-ANU20070816.152647.

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In this thesis we investigate the effects of the physical constraints such as antenna aperture size, antenna geometry and non-isotropic scattering distribution parameters (angle of arrival/departure and angular spread) on the performance of coherent and non-coherent space-time coded wireless communication systems. First, we derive analytical expressions for the exact pairwise error probability (PEP) and PEP upper-bound of coherent and non-coherent space-time coded systems operating over spatially correlated fading channels using a moment-generating function-based approach. These analytical expressions account for antenna spacing, antenna geometries and scattering distribution models. Using these new PEP expressions, the degree of the effect of antenna spacing, antenna geometry and angular spread is quantified on the diversity advantage (robustness) given by a space-time code. It is shown that the number of antennas that can be employed in a fixed antenna aperture without diminishing the diversity advantage of a space-time code is determined by the size of the antenna aperture, antenna geometry and the richness of the scattering environment. ¶ In realistic channel environments the performance of space-time coded multiple-input multiple output (MIMO) systems is significantly reduced due to non-ideal antenna placement and non-isotropic scattering. In this thesis, by exploiting the spatial dimension of a MIMO channel we introduce the novel use of linear spatial precoding (or power-loading) based on fixed and known parameters of MIMO channels to ameliorate the effects of non-ideal antenna placement on the performance of coherent and non-coherent space-time codes. The spatial precoder virtually arranges the antennas into an optimal configuration so that the spatial correlation between all antenna elements is minimum. With this design, the precoder is fixed for fixed antenna placement and the transmitter does not require any feedback of channel state information (partial or full) from the receiver. We also derive precoding schemes to exploit non-isotropic scattering distribution parameters of the scattering channel to improve the performance of space-time codes applied on MIMO systems in non-isotropic scattering environments. However, these schemes require the receiver to estimate the non-isotropic parameters and feed them back to the transmitter. ¶ The idea of precoding based on fixed parameters of MIMO channels is extended to maximize the capacity of spatially constrained dense antenna arrays. It is shown that the theoretical maximum capacity available from a fixed region of space can be achieved by power loading based on previously unutilized channel state information contained in the antenna locations. We analyzed the correlation between different modal orders generated at the transmitter region due to spatially constrained antenna arrays in non-isotropic scattering environments, and showed that adjacent modes contribute to higher correlation at the transmitter region. Based on this result, a power loading scheme is proposed which reduces the effects of correlation between adjacent modes at the transmitter region by nulling power onto adjacent transmit modes. ¶ Furthermore, in this thesis a general space-time channel model for down-link transmission in a mobile multiple antenna communication system is developed. The model incorporates deterministic quantities such as physical antenna positions and the motion of the mobile unit (velocity and the direction), and random quantities to capture random scattering environment modeled using a bi-angular power distribution and, in the simplest case, the covariance between transmit and receive angles which captures statistical interdependency. The Kronecker model is shown to be a special case when the power distribution is separable and is shown to overestimate MIMO system performance whenever there is more than one scattering cluster. Expressions for space-time cross correlations and space-frequency cross spectra are given for a number of scattering distributions using Gaussian and Morgenstern's family of multivariate distributions. These new expressions extend the classical Jake's and Clarke's correlation models to general non-isotropic scattering environments.
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Lamahewa, Tharaka Anuradha. "Space-time coding and space-time channel modelling for wireless communications /." View thesis entry in Australian Digital Theses Program, 2006. http://thesis.anu.edu.au/public/adt-ANU20070816.152647/index.html.

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Liew, Tong Hooi. "Channel coding and space-time coding for wireless channels." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341591.

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Acharya, Om Nath, and Sabin Upadhyaya. "Space Time Coding For Wireless Communication." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-19424.

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As the demand of high data rate is increasing, a lot of research is being conducted in the field of wireless communication. A well-known channel coding technique called Space-Time Coding has been implemented in the wireless Communication systems using multiple antennas to ensure the high speed communication as well as reliability by exploiting limited spectrum and maintaining the power. In this thesis, Space-Time Coding is discussed along with other related topics with special focus on Alamouti Space-Time Block Code. The Alamouti Codes show good performance in terms of bit error rate over Rayleigh fading channel. The performance of Altamonte’s code and MIMO capacity is evaluated by using MATLAB simulation.
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Jensen, Michael A., and Michael D. Rice. "SPACE-TIME CODING FOR WIRELESS COMMUNICATIONS." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605605.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California
Signal fading and intersymbol interference created by multipath propagation have traditionally limited the throughput on wireless communications systems. However, recent research has demonstrated that by using multiple antennas on both transmit and receive ends of the link, the multipath channel can actually be exploited to achieve increased communication throughput over single-antenna systems. This paper provides an introductory description of such multi-antenna communications systems, focusing on basic explanations of how they achieve capacity gains. Computed and measured capacity results are used to demonstrate the potential of these systems.
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Nelson, N. Thomas. "Space-Time Coding with Offset Modulations." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2155.pdf.

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Yiu, Simon Tik-Kong. "Distributed space-time coding for cooperative networks." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31765.

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Cooperative networks exploit the broadcast nature of wireless channels to gain spatial diversity. This dissertation develops two distributed space-time coding schemes for frequency-nonselective channels, and extends and optimizes the previously proposed distributed space-time filtering scheme for frequency-selective channels. Unlike many other distributed space-time coding schemes in the literature, the decentralized schemes proposed in this thesis are designed specifically for wireless networks with a large set of N decode-and-forward relay nodes. At any given time, an a priori unknown subset of nodes acts as relays to cooperatively assist the communication between the source and destination node. To facilitate the cooperation, each physically distributed single--antenna node in the network is assigned a signature vector (signature matrix for multiple-antenna nodes) or signature filter vector. We show that the proposed schemes guarantee a certain diversity gain regardless of which relay nodes in the network cooperate. In addition, the decoding complexity of the various schemes is independent of N and the (random) number of active nodes, and receiver designs advocated originally for traditional co-located antenna systems can be applied. The first scheme is called distributed space-time block coding. Depending on the chosen design, it allows for low-complexity coherent, differential, and noncoherent detection. The second scheme is referred to as distributed space time trellis coding. We show that distributed space-time trellis coding inherits the coding gain of space-time trellis codes over space-time block codes even in the cooperative setting. The two aforementioned schemes are designed for frequency-nonselective fading channels. Finally, we optimize and extend distributed space-time filtering, proposed originally by El Gamal and Aktas, to frequency-selective fading channels. For each scheme, the design criteria are derived. Then, using mathematical tools and classical optimization techniques, efficient methods for the design of the set of signature vectors, signature matrices, and signature filter vectors are provided. Furthermore, the achievable diversity gain, as well as the loss entailed by the distributed implementation of each scheme, are characterized and verified via simulations. Finally, we apply noncoherent distributed space-time block coding to a practical wireless sensor network and show that the proposed scheme is a promising solution for cooperative communication in future sensor, ad hoc, and wireless networks.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Nguyen, Anh Van. "Concatenated space-time coding for wireless systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13533.

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Masoud, Masoud. "Space-time block coding for wireless communications." Thesis, University of Hertfordshire, 2008. http://hdl.handle.net/2299/2548.

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Wireless designers constantly seek to improve the spectrum efficiency/capacity, coverage of wireless networks, and link reliability. Space-time wireless technology that uses multiple antennas along with appropriate signalling and receiver techniques offers a powerful tool for improving wireless performance. Some aspects of this technology have already been incorporated into various wireless network and cellular mobile standards. More advanced MIMO techniques are planned for future mobile networks, wireless local area network (LANs) and wide area network (WANs). Multiple antennas when used with appropriate space-time coding (STC) techniques can achieve huge performance gains in multipath fading wireless links. The fundamentals of space-time coding were established in the context of space-time Trellis coding by Tarokh, Seshadri and Calderbank. Alamouti then proposed a simple transmit diversity coding scheme and based on this scheme, general space-time block codes were further introduced by Tarokh, Jafarkhani and Calderbank. Since then space-time coding has soon evolved into a most vibrant research area in wireless communications. Recently, space-time block coding has been adopted in the third generation mobile communication standard which aims to deliver true multimedia capability. Space-time block codes have a most attractive feature of the linear decoding/detection algorithms and thus become the most popular among different STC techniques. The decoding of space-time block codes, however, requires knowledge of channels at the receiver and in most publications, channel parameters are assumed known, which is not practical due to the changing channel conditions in real communication systems. This thesis is mainly concerned with space-time block codes and their performances. The focus is on signal detection and channel estimation for wireless communication systems using space-time block codes. We first present the required background materials, discuss different implementations of space-time block codes using different numbers of transmit and receive antennas, and evaluate the performances of space-time block codes using binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), and quadrature amplitude modulation (QAM). Then, we investigate Tarokh’s joint detection scheme with no channel state information thoroughly, and also propose a new general joint channel estimation and data detection scheme that works with QPSK and 16-QAM and different numbers of antennas. Next, we further study Yang’s channel estimation scheme, and expand this channel estimation scheme to work with 16-QAM modulation. After dealing with complex signal constellations, we subsequently develop the equations and algorithms of both channel estimation schemes to further test their performances when real signals are used (BPSK modulation). Then, we simulate and compare the performances of the two new channel estimation schemes when employing different number of transmit and receive antennas and when employing different modulation methods. Finally, conclusions are drawn and further research areas are discussed.
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Song, Lingyang. "Differential space-time coding techniques and MIMO." Thesis, University of York, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434157.

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Books on the topic "Space-time coding"

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Vucetic, Branka, and Jinhong Yuan. Space-Time Coding. Chichester, UK: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/047001413x.

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Jing, Yindi. Distributed Space-Time Coding. New York, NY: Springer New York, 2013.

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Jing, Yindi. Distributed Space-Time Coding. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8.

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Hanzo, L., T. H. Liew, B. L. Yeap, R. Y. S. Tee, and S. X. Ng. Turbo Coding, Turbo Equalisation and Space-Time Coding. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470978481.

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Hanzo, L., T. H. Liew, and B. L. Yeap. Turbo Coding, Turbo Equalisation and Space-Time Coding. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/047085474x.

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Hanzo, L., T. H. Liew, and B. L. Yeap. Turbo Coding, Turbo Equalisation and Space-Time Coding. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/047085474x.

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1958-, Giannakis Georgios B., ed. Space-time coding for broadband wireless communications. Hoboken, N.J: Wiley-Interscience, 2007.

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H, Liew T., and Yeap B. L, eds. Turbo coding, turbo equalisation, and space-time coding: For transmission over fading channels. Chichester: J. Wiley, 2002.

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Hanzo, Lajos. Turbo coding, turbo equalisation, and space-time coding for transmission over fading channels. New York: J. Wiley, 2002.

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Oggier, Frédérique. Cyclic division algebras: A tool for space-time coding. Hanover, MA: Now Publishers, 2007.

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Book chapters on the topic "Space-time coding"

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Rao, K. Deergha. "Space-Time Coding." In Channel Coding Techniques for Wireless Communications, 423–63. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0561-4_12.

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Deergha Rao, K. "Space–Time Coding." In Channel Coding Techniques for Wireless Communications, 355–94. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2292-7_11.

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Jing, Yindi. "Distributed Space-Time Coding." In Distributed Space-Time Coding, 13–46. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8_2.

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Jing, Yindi. "Introduction." In Distributed Space-Time Coding, 1–11. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8_1.

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Jing, Yindi. "Distributed Space-Time Coding for Multiple-Antenna Multiple-Relay Network." In Distributed Space-Time Coding, 47–67. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8_3.

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Jing, Yindi. "Differential Distributed Space-Time Coding." In Distributed Space-Time Coding, 69–78. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8_4.

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Jing, Yindi. "Training and Training-Based Distributed Space-Time Coding." In Distributed Space-Time Coding, 79–108. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6831-8_5.

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Yin, Rui, Zhiqun Zou, Celimuge Wu, Hongjun Xu, and Chao Chen. "Spectra Efficient Space Time Coding." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 213–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64002-6_14.

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Speidel, Joachim. "Principles of Space-Time Coding." In Signals and Communication Technology, 245–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_23.

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Speidel, Joachim. "Principles of Space-Time Coding." In Signals and Communication Technology, 281–303. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_19.

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Conference papers on the topic "Space-time coding"

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Memarzadeh, Mahsa, Ashutosh Sabharwal, and Behnaam Aazhang. "Broadcast space-time coding." In ITCom 2001: International Symposium on the Convergence of IT and Communications, edited by Edwin K. P. Chong. SPIE, 2001. http://dx.doi.org/10.1117/12.434446.

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Erez, U., G. W. Wornell, and M. D. Trott. "Rateless space-time coding." In Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. IEEE, 2005. http://dx.doi.org/10.1109/isit.2005.1523683.

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Wang, Haiquan, and En-hui Yang. "Space-Time Coding with Feedback." In 2006 IEEE Information Theory Workshop. IEEE, 2006. http://dx.doi.org/10.1109/itw.2006.322855.

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Wang, Haiquan, and En-hui Yang. "Space-Time Coding with Feedback." In 2006 IEEE Information Theory Workshop. IEEE, 2006. http://dx.doi.org/10.1109/itw2.2006.323837.

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Chin, Yiyong, A. D. S. Jayalath, and Bouchra Senadji. "Slotted distributed space-time coding." In 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2012). IEEE, 2012. http://dx.doi.org/10.1109/pimrc.2012.6362890.

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Damen, Mohamed Oussama, and A. Roger Hammons Jr. "On Distributed Space-Time Coding." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.107.

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Yiu, S., R. Schober, and L. Lampe. "Distributed space-time block coding." In GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1577919.

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Huang, Yu-Chih, Yi Hong, Emanuele Viterbo, and Lakshmi Natarajan. "Layered Space- Time Index Coding." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437520.

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Zhang, L., G. Castaldi, V. Galdi, T. J. Cui, X. Q. Chen, S. Liu, Q. Zhang, et al. "Space-Time-Coding Digital Metasurfaces." In 2019 Thirteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials). IEEE, 2019. http://dx.doi.org/10.1109/metamaterials.2019.8900878.

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Safari, Majid, and Murat Uysal. "Space-Time Coding versus Repetition Coding for Free-Space Optical Communication." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487377.

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Reports on the topic "Space-time coding"

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Temple, Kip, and Michael Rice. Space-Time Coding for Aerronautical Telemetry: Part 2 -- Experimental Results. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada549067.

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Xia, Xiang-Gen. Space-Time Coding Using Algebraic Number Theory for Broadband Wireless Communications. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada483791.

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