Academic literature on the topic 'Discrete memoryless channels'
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Journal articles on the topic "Discrete memoryless channels"
Sahebi, Aria G., and S. Sandeep Pradhan. "Multilevel Channel Polarization for Arbitrary Discrete Memoryless Channels." IEEE Transactions on Information Theory 59, no. 12 (December 2013): 7839–57. http://dx.doi.org/10.1109/tit.2013.2282611.
Full textHuang, Da Zu, Zhi Gang Chen, Xin Li, and Ying Guo. "Quantum Polarization Codes for Capacity-Achieving in Discrete Memoryless Quantum Channel." Applied Mechanics and Materials 44-47 (December 2010): 2978–82. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2978.
Full textSteiner, M. "Constructive codes for arbitrary discrete memoryless channels." IEEE Transactions on Information Theory 40, no. 3 (May 1994): 929–34. http://dx.doi.org/10.1109/18.335905.
Full textDabirnia, Mehdi, A. Korhan Tanc, Shahrouz Sharifi, and Tolga M. Duman. "Code Design for Discrete Memoryless Interference Channels." IEEE Transactions on Communications 66, no. 8 (August 2018): 3368–80. http://dx.doi.org/10.1109/tcomm.2018.2817233.
Full textKurkoski, Brian M., and Hideki Yagi. "Quantization of Binary-Input Discrete Memoryless Channels." IEEE Transactions on Information Theory 60, no. 8 (August 2014): 4544–52. http://dx.doi.org/10.1109/tit.2014.2327016.
Full textSreekumar, Sreejith, and Deniz Gunduz. "Distributed Hypothesis Testing Over Discrete Memoryless Channels." IEEE Transactions on Information Theory 66, no. 4 (April 2020): 2044–66. http://dx.doi.org/10.1109/tit.2019.2953750.
Full textPiantanida, Pablo, Gerald Matz, and Pierre Duhamel. "Outage Behavior of Discrete Memoryless Channels Under Channel Estimation Errors." IEEE Transactions on Information Theory 55, no. 9 (September 2009): 4221–39. http://dx.doi.org/10.1109/tit.2009.2025574.
Full textZhang, Qiaosheng, and Vincent Y. F. Tan. "Covert Identification Over Binary-Input Discrete Memoryless Channels." IEEE Transactions on Information Theory 67, no. 8 (August 2021): 5387–403. http://dx.doi.org/10.1109/tit.2021.3089245.
Full textGrant, A. J., B. Rimoldi, R. L. Urbanke, and P. A. Whiting. "Rate-splitting multiple access for discrete memoryless channels." IEEE Transactions on Information Theory 47, no. 3 (March 2001): 873–90. http://dx.doi.org/10.1109/18.915637.
Full textTelatar, I. E. "Zero-error list capacities of discrete memoryless channels." IEEE Transactions on Information Theory 43, no. 6 (1997): 1977–82. http://dx.doi.org/10.1109/18.641560.
Full textDissertations / Theses on the topic "Discrete memoryless channels"
Griffiths, Wayne Bradley. "On a posteriori probability decoding of linear block codes over discrete channels." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0156.
Full textMEDEIROS, Rex Antonio da Costa. "Zero-Error capacity of quantum channels." Universidade Federal de Campina Grande, 2008. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1320.
Full textMade available in DSpace on 2018-08-01T21:11:37Z (GMT). No. of bitstreams: 1 REX ANTONIO DA COSTA MEDEIROS - TESE PPGEE 2008..pdf: 1089371 bytes, checksum: ea0c95501b938e0d466779a06faaa4f6 (MD5) Previous issue date: 2008-05-09
Nesta tese, a capacidade erro-zero de canais discretos sem memória é generalizada para canais quânticos. Uma nova capacidade para a transmissão de informação clássica através de canais quânticos é proposta. A capacidade erro-zero de canais quânticos (CEZQ) é definida como sendo a máxima quantidade de informação por uso do canal que pode ser enviada através de um canal quântico ruidoso, considerando uma probabilidade de erro igual a zero. O protocolo de comunicação restringe palavras-código a produtos tensoriais de estados quânticos de entrada, enquanto que medições coletivas entre várias saídas do canal são permitidas. Portanto, o protocolo empregado é similar ao protocolo de Holevo-Schumacher-Westmoreland. O problema de encontrar a CEZQ é reformulado usando elementos da teoria de grafos. Esta definição equivalente é usada para demonstrar propriedades de famílias de estados quânticos e medições que atingem a CEZQ. É mostrado que a capacidade de um canal quântico num espaço de Hilbert de dimensão d pode sempre ser alcançada usando famílias compostas de, no máximo,d estados puros. Com relação às medições, demonstra-se que medições coletivas de von Neumann são necessárias e suficientes para alcançar a capacidade. É discutido se a CEZQ é uma generalização não trivial da capacidade erro-zero clássica. O termo não trivial refere-se a existência de canais quânticos para os quais a CEZQ só pode ser alcançada através de famílias de estados quânticos não-ortogonais e usando códigos de comprimento maior ou igual a dois. É investigada a CEZQ de alguns canais quânticos. É mostrado que o problema de calcular a CEZQ de canais clássicos-quânticos é puramente clássico. Em particular, é exibido um canal quântico para o qual conjectura-se que a CEZQ só pode ser alcançada usando uma família de estados quânticos não-ortogonais. Se a conjectura é verdadeira, é possível calcular o valor exato da capacidade e construir um código de bloco quântico que alcança a capacidade. Finalmente, é demonstrado que a CEZQ é limitada superiormente pela capacidade de Holevo-Schumacher-Westmoreland.
Bharadwaj, Vinay K. "Joint source/channel coding for discrete memoryless channels: Lessons to learn." Thesis, 2000. http://hdl.handle.net/1911/17324.
Full text"Zero error decision feedback capacity of discrete memoryless channels." Massachusetts Institute of Technology, Laboratory for Information and Decision Systems], 1989. http://hdl.handle.net/1721.1/3166.
Full textLin, Hsuan-Yin, and 林玄寅. "Optimal Ultra-Small Block-Codes for Binary Input Discrete Memoryless Channels." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/20041495285802019942.
Full text國立交通大學
電信工程研究所
101
Optimal block-codes with a very small number of codewords are investigated for the binary input discrete memoryless channels. Those channels are the binary asymmetric channel (BAC), including the two special cases of the binary symmetric channel (BSC) and the Z-channel (ZC). The binary erasure channel (BEC) is a common used channel with ternary output. For the asymmetric channels, a general BAC, it is shown that so-called flip codes are optimal codes with two codewords. The optimal (in the sense of minimum average error probability, using maximum likelihood decoding) code structure is derived for the ZC in the cases of two, three, and four codewords and an arbitrary finite blocklength. For the symmetric channels, the BSC and the BEC, the optimal code structure is derived with at most three codewords and an arbitrary finite blocklength, a statement for linear optimal codes with four codes is also given. The derivation of these optimal codes relies heavily on a new approach of constructing and analyzing the codebook matrix not row-wise (codewords), but column-wise. This new tool allows an elegant definition of interesting code families that is recursive in the blocklength n and admits their exact analysis of error performance that is not based on the union bound or other approximations.
Zhong, Yangfan. "Joint Source-Channel Coding Reliability Function for Single and Multi-Terminal Communication Systems." Thesis, 2008. http://hdl.handle.net/1974/1207.
Full textThesis (Ph.D, Mathematics & Statistics) -- Queen's University, 2008-05-13 22:31:56.425
Books on the topic "Discrete memoryless channels"
Statistical analysis of memoryless discrete channels. Berlin: Humboldt-Universität zu Berlin, 2004.
Find full textBook chapters on the topic "Discrete memoryless channels"
Winter, Andreas, Anderson C. A. Nascimento, and Hideki Imai. "Commitment Capacity of Discrete Memoryless Channels." In Cryptography and Coding, 35–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-40974-8_4.
Full textAhlswede, Rudolf. "Identification via Discrete Memoryless Wiretap Channels." In Identification and Other Probabilistic Models, 117–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65072-8_6.
Full textOoi, James M. "Discrete Memoryless Channels: An Introduction to the Framework." In Coding for Channels with Feedback, 9–60. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5719-7_2.
Full text"Discrete memoryless channels and their capacity–cost functions." In The Theory of Information and Coding, 50–74. Cambridge University Press, 2004. http://dx.doi.org/10.1017/cbo9780511819896.007.
Full text"Discrete memoryless channels and their capacity–cost functions." In The Theory of Information and Coding, 50–74. Cambridge University Press, 2002. http://dx.doi.org/10.1017/cbo9780511606267.007.
Full textYuksel, Melda, and Elza Erkip. "Information Theoretical Limits on Cooperative Communications." In Cooperative Communications for Improved Wireless Network Transmission, 1–28. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-665-5.ch001.
Full text"Lower Bounds to Error Probability for Coding on Discrete Memoryless Channels. I." In Claude E. Shannon. IEEE, 2009. http://dx.doi.org/10.1109/9780470544242.ch23.
Full text"Lower Bounds to Error Probability for Coding on Discrete Memoryless Channels. II." In Claude E. Shannon. IEEE, 2009. http://dx.doi.org/10.1109/9780470544242.ch24.
Full textConference papers on the topic "Discrete memoryless channels"
Tepedelenlioglu, Cihan. "Channel Inclusion Beyond Discrete Memoryless Channels." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9517862.
Full textSasoglu, Eren, Emre Telatar, and Erdal Arikan. "Polarization for arbitrary discrete memoryless channels." In 2009 IEEE Information Theory Workshop (ITW 2009). IEEE, 2009. http://dx.doi.org/10.1109/itw.2009.5351487.
Full textGuo, Ying, Moon Ho Lee, and Jun Li. "A novel channel polarization on binary discrete memoryless channels." In 2010 IEEE International Conference on Communication Systems (ICCS). IEEE, 2010. http://dx.doi.org/10.1109/iccs.2010.5685897.
Full textJiang, Jinhua, Yan Xin, and Hari Krishna Garg. "Discrete Memoryless Interference Channels with Fee back." In 2007 41st Annual Conference on Information Sciences and Systems. IEEE, 2007. http://dx.doi.org/10.1109/ciss.2007.4298375.
Full textLima, João de Deus, and Reginaldo Palazzo Jr. "Topological structures associated with discrete memoryless channels." In 2002 International Telecommunications Symposium. Sociedade Brasileira de Telecomunicações, 2002. http://dx.doi.org/10.14209/its.2002.210.
Full textYagi, Hideki, and Te Sun Han. "Variable-Length Channel Resolvability for Discrete Memoryless Sources and Channels." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437858.
Full textTope, Michael A., and Joel M. Morris. "On channel rate discovery for discrete memoryless binary output channels." In 2017 IEEE 38th Sarnoff Symposium. IEEE, 2017. http://dx.doi.org/10.1109/sarnof.2017.8080389.
Full textNguyen, Thuan, and Thinh Nguyen. "On Closed Form Capacities of Discrete Memoryless Channels." In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE, 2018. http://dx.doi.org/10.1109/vtcspring.2018.8417505.
Full textNguyen, Thuan, Yu-Jung Chu, and Thinh Nguyen. "On the Capacities of Discrete Memoryless Thresholding Channels." In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE, 2018. http://dx.doi.org/10.1109/vtcspring.2018.8417506.
Full textDazu Huang, Jianquan Xie, and Ying Guo. "Fast polarization construction on binary discrete memoryless channels." In 2010 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2010. http://dx.doi.org/10.1109/pic.2010.5687583.
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