Relevant bibliographies by topics / Channel capacity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Channel capacity'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Channel capacity"

1

MEDEIROS, REX A. C., and FRANCISCO M. DE ASSIS. "QUANTUM ZERO-ERROR CAPACITY." International Journal of Quantum Information 03, no. 01 (2005): 135–39. http://dx.doi.org/10.1142/s0219749905000682.

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We define a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.
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Kianvash, Farzad, Marco Fanizza, and Vittorio Giovannetti. "Bounding the quantum capacity with flagged extensions." Quantum 6 (February 9, 2022): 647. http://dx.doi.org/10.22331/q-2022-02-09-647.

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In this article we consider flagged extensions of convex combination of quantum channels, and find general sufficient conditions for the degradability of the flagged extension. An immediate application is a bound on the quantum Q and private P capacities of any channel being a mixture of a unitary map and another channel, with the probability associated to the unitary component being larger than 1/2. We then specialize our sufficient conditions to flagged Pauli channels, obtaining a family of upper bounds on quantum and private capacities of Pauli channels. In particular, we establish new stat
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He, Yifeng, and Ling Guan. "Improving Streaming Capacity in Multi-Channel P2P VoD Systems via Intra-Channel and Cross-Channel Resource Allocation." International Journal of Digital Multimedia Broadcasting 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/807520.

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Multi-channel Peer-to-Peer (P2P) Video-on-Demand (VoD) systems can be categorized intoindependent-channelP2P VoD systems andcorrelated-channelP2P VoD systems. Streaming capacity for a channel is defined as the maximal streaming rate that can be received by every user of the channel. In this paper, we study the streaming capacity problem in multi-channel P2P VoD systems. In an independent-channel P2P VoD system, there is no resource correlation among channels. Therefore, we can find the average streaming capacity for the independent-channel P2P VoD system by finding the streaming capacity for e
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DiVincenzo, David P., Peter W. Shor, and John A. Smolin. "Quantum-channel capacity of very noisy channels." Physical Review A 57, no. 2 (1998): 830–39. http://dx.doi.org/10.1103/physreva.57.830.

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Pang, Arthur O. T., Noah Lupu-Gladstein, Hugo Ferretti, Y. Batuhan Yilmaz, Aharon Brodutch, and Aephraim M. Steinberg. "Experimental Communication Through Superposition of Quantum Channels." Quantum 7 (October 3, 2023): 1125. http://dx.doi.org/10.22331/q-2023-10-03-1125.

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Information capacity enhancement through the coherent control of channels has attracted much attention of late, with work exploring the effect of coherent control of channel causal orders, channel superpositions, and information encoding. Coherently controlling channels necessitates a non-trivial expansion of the channel description, which for superposing qubit channels, is equivalent to expanding the channel to act on qutrits. Here we explore the nature of this capacity enhancement for the superposition of channels by comparing the maximum coherent information through depolarizing qubit chann
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Ostroumov, O. A., and A. D. Sinyuk. "BROADCAST CHANNEL TRANSMISSION CAPACITY." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 183 (September 2019): 33–42. http://dx.doi.org/10.14489/vkit.2019.09.pp.033-042.

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The most important studies of well-known Broadcast Communication Channels (BCC) models are associated with obtaining accurate information efficiency estimates(IE). Earlier, the coding problem was stated, the joint information measure (JI) of the proposed BCC model was introduced and investigated. Then the information capacity (IC) was introduced and the conditions for maximizing the average JI were defined, the uncertainty concept was defined, and an evidence-based adjustment of the Feinstein inequality for the channel model under study was made. In the present paper, the general information a
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Huang, 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.

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Quantum channel combining and splitting, called quantum channel polarization, is suggested to design qubit sequences that achieve the symmetric capacity for any given discrete memoryless quantum channels. The polarized quantum channels can be well-conditioned for quantum channel codes, through which one need to send data at rate 1 by employing quantum channels with capacity near 1 and at rate 0 by employing the remaining quantum channels.
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WU, YU-CHUN, ZHENG-WEI ZHOU, and GUANG-CAN GUO. "THE HSW CHANNEL CAPACITY FOR THE DIAGONAL UNITAL QUDIT CHANNELS." International Journal of Quantum Information 02, no. 04 (2004): 489–93. http://dx.doi.org/10.1142/s021974990400047x.

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The Holevo–Schumacher–Westermoreland (HSW) channel capacity for the diagonal unital qudit channels is considered. In Phys. Rev.A69, 022302, the HSW channel capacity for the diagonal unital qudit channels Φ is given as χ(Φ)=1- min ρH(Φ(ρ)), where minimization is over the input states of the channel. In this paper, using the concavity of von Neumann entropy, we show that using only pure states we can work out its HSW channel capacity. Hence, our result simplifies the computation.
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Al-Janabi, Ahmed Mohammed Sami, Abdul Halim Ghazali, Badronnisa Yusuf, et al. "Optimizing Height and Spacing of Check Dam Systems for Better Grassed Channel Infiltration Capacity." Applied Sciences 10, no. 11 (2020): 3725. http://dx.doi.org/10.3390/app10113725.

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The check dams in grassed stormwater channels enhance infiltration capacity by temporarily blocking water flow. However, the design properties of check dams, such as their height and spacing, have a significant influence on the flow regime in grassed stormwater channels and thus channel infiltration capacity. In this study, a mass-balance method was applied to a grassed channel model to investigate the effects of height and spacing of check dams on channel infiltration capacity. Moreover, an empirical infiltration model was derived by improving the modified Kostiakov model for reliable estimat
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Leung, Debbie, and John Watrous. "On the complementary quantum capacity of the depolarizing channel." Quantum 1 (September 19, 2017): 28. http://dx.doi.org/10.22331/q-2017-09-19-28.

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The qubit depolarizing channel with noise parameter η transmits an input qubit perfectly with probability 1−η, and outputs the completely mixed state with probability η. We show that its complementary channel has positive quantum capacity for all η>0. Thus, we find that there exists a single parameter family of channels having the peculiar property of having positive quantum capacity even when the outputs of these channels approach a fixed state independent of the input. Comparisons with other related channels, and implications on the difficulty of studying the quantum capacity of the depol
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Dissertations / Theses on the topic "Channel capacity"

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VIEIRA, ROBSON DOMINGOS. "MIMO MEASURED CHANNELS: CAPACITY RESULTS AND ANALYSIS OF CHANNEL PARAMETERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7954@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Sistemas com múltiplas antenas transmissoras e receptoras, também conhecidos como sistemas MIMO (Multiple Input-Multiple Output), têm sido apontados como uma solução para aumentar a capacidade de enlaces sem fio, permitindo aos usuários utilizar aplicações com altas taxas de dados. Isto é extremamente importante em sistemas onde a capacidade obtida com as técnicas tradicionais é bastante limitada devido às características do ambiente de propagação. Com o sistema MIMO, algumas destas características são exploradas para criar
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Abdelaziz, Amr Mohamed. "Information Theoretical Studies on MIMO Channel with Limited Channel State Information." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500592938716914.

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Reátegui, del Águila Fernando. "On the capacity of cognitive interference channel structures." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/807077/.

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The cognitive interference channel extends the classical two-user interference channel to have unidirectional cooperation at the transmitters. In this model, the cognitive transmitter is assumed to have noncausal knowledge of the other transmitter's current message (primary message). This a priori knowledge is used by the cognitive user to accomplish its two main purposes, i.e., to relay the primary message in order to boost the primary user's data rate and to maximise its own data rate by cancelling the interference at its receiver. The cognitive interference channel is well studied in the li
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Clower, Terry L. "Increasing Telecommunications Channel Capacity: Impacts on Firm Profitability." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc279298/.

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In calling for the deployment of high-capacity telecommunications infrastructures, the Clinton Administration is relying on market forces to drive demand toward self-sustaining development. There is little doubt that many firms will embrace the new telecommunications services for a variety of reasons including market differentiation, vertical market integration, and other organization-specific factors. However, there is little evidence at the firm level that adopting the use of increased-capacity telecommunications technologies is associated with improvements in firm profitability. This study
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Potter, Christopher G., Adam G. Panagos, Kurt Kosbar, and William Weeks. "OPTIMAL TRAINING PARAMETERS FOR CONTINUOUSLY VARYING MIMO CHANNELS." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/605025.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>To correctly demodulate a signal sent through a multiple-input multiple-output (MIMO) channel, a receiver may use training to learn the channel parameters. The choice of training parameters can significantly impact system performance. Training too often yields low throughput while training infrequently produces poor channel estimates and increased transmission errors. Previous work on optimal
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Panagos, Adam G., and Kurt Kosbar. "A GRAPHICAL USER INTERFACE MIMO CHANNEL SIMULATOR." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605799.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>Multiple-input multiple-output (MIMO) communication systems are attracting attention because their channel capacity can exceed single-input single-output systems, with no increase in bandwidth. While MIMO systems offer substantial capacity improvements, it can be challenging to characterize and verify their channel models. This paper describes a software MIMO channel simulator with a graphical user interface that allows the user to easily investigate a number of MIMO channe
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Guha, Saikat 1980. "Classical capacity of the free-space quantum-optical channel." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/87908.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>MIT Institute Archives copy has MIT Research Laboratory of Electronics t.p.<br>Also issued with MIT Research Laboratory of Electronics t.p. preceding thesis t.p.<br>Includes bibliographical references (leaves 114-116).<br>Exploring the limits to reliable communication rates over quantum channels has been the primary focus of many researchers over the past few decades. In the present work, the classical information carrying capacity of the free-space quantum optical channel has b
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Bonello, Nicholas. "Near-capacity fixed-rate and rateless channel code constructions." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/68774/.

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Fixed-rate and rateless channel code constructions are designed for satisfying conflicting design tradeoffs, leading to codes that benefit from practical implementations, whilst offering a good bit error ratio (BER) and block error ratio (BLER) performance. More explicitly, two novel low-density parity-check code (LDPC) constructions are proposed; the first construction constitutes a family of quasi-cyclic protograph LDPC codes, which has a Vandermonde-like parity-check matrix (PCM). The second construction constitutes a specific class of protograph LDPC codes, which are termed as multilevel s
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Tau, Sieskul Bamrung [Verfasser]. "NLoS Localization and UWB Channel Capacity Analysis / Bamrung Tau Sieskul." Aachen : Shaker, 2010. http://d-nb.info/1080766995/34.

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Shukla, Rahul. "Effects of UE Speed on MIMO Channel Capacity in LTE." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862877/.

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With the introduction of 4G LTE, multiple new technologies were introduced. MIMO is one of the important technologies introduced with fourth generation. The main MIMO modes used in LTE are open loop and closed loop spatial multiplexing modes. This thesis develops an algorithm to calculate the threshold values of UE speed and SNR that is required to implement a switching algorithm which can switch between different MIMO modes for a UE based on the speed and channel conditions (CSI). Specifically, this thesis provides the values of UE speed and SNR at which we can get better results by switching
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Books on the topic "Channel capacity"

1

Board, British Railways, ed. Channel Tunnel train services: BR study report on long-term route and terminal capacity. British Railways Board, 1988.

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Lau, Allen N. L. Probabilistic characterization of capacity and adaptive power control for multi-cell DS-CDMA reverse link channel. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Society, Railway Development, ed. Channel tunnel train services: RDS commentary on BR study report on long-term route and terminal capacity. Railway Development Society, 1990.

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Koltun, G. F. Hydrologic considerations for estimation of storage-capacity requirements of impounding and side-channel reservoirs for water supply in Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 2001.

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Koltun, G. F. Hydrologic considerations for estimation of storage-capacity requirements of impounding and side-channel reservoirs for water supply in Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 2001.

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Rupf, Marcel. Coding for CDMA channels and capacity. Hartung-Gorre, 1994.

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B, Smith Joel, Klein Richard J. T, Huq Saleemul, and Potsdam-Institut für Klimafolgenforschung, eds. Climate change, adaptive capacity and development. Imperial College Press, 2003.

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Teuatabo, Nakibae. National capacity self assessment project: Thematic area relating to capacity needs to implement the United Nations framework convention on climate change. [s.n., 2007.

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E, Goertz Margaret, Floden Robert E, and Educational Resources Information Center (U.S.), eds. Building capacity for education reform. Consortium for Policy Research in Education, 1995.

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Secretariat of the United Nations Framework Convention on Climate Change. Capacity-building: Submissions from Parties included in annex 2 to the Convention : note. UN, 2000.

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Book chapters on the topic "Channel capacity"

1

Palm, Günther. "Channel Capacity." In Novelty, Information and Surprise. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29075-6_7.

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Yeung, Raymond W. "Channel Capacity." In A First Course in Information Theory. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8608-5_8.

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Gibson, Jerry D. "Channel Capacity." In Synthesis Lectures on Engineering, Science, and Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65388-9_11.

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Palm, Günther. "Channel Capacity." In Information Science and Statistics. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65875-8_8.

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Gibson, Jerry. "Channel Capacity." In Information Theory and Rate Distortion Theory for Communications and Compression. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01680-6_4.

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Djordjevic, Ivan, William Ryan, and Bane Vasic. "Optical Channel Capacity." In Coding for Optical Channels. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5569-2_10.

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Battail, Gérard. "Channel Capacity and Channel Coding." In Information and Life. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7040-9_5.

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Ke, Xizheng. "Channel Model and Channel Capacity." In Optical Wireless Communication Theory and Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6449-5_3.

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Laurenti, Nicola. "Channel Coding and Capacity." In Principles of Communications Networks and Systems. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119978589.ch6.

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Balado, Félix. "Genetic Channel Capacity Revisited." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32711-7_7.

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Conference papers on the topic "Channel capacity"

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Hayashi, Masahito. "Non-Iterative Algorithm for Channel Capacity." In 2024 IEEE Information Theory Workshop (ITW). IEEE, 2024. https://doi.org/10.1109/itw61385.2024.10806936.

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Kol, Gillat, and Ran Raz. "Interactive channel capacity." In the 45th annual ACM symposium. ACM Press, 2013. http://dx.doi.org/10.1145/2488608.2488699.

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Millen, Jonathan K. "Covert Channel Capacity." In 1987 IEEE Symposium on Security and Privacy. IEEE, 1987. http://dx.doi.org/10.1109/sp.1987.10013.

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Langberg, Michael, and Oron Sabag. "Competitive Channel-Capacity." In 2023 IEEE International Symposium on Information Theory (ISIT). IEEE, 2023. http://dx.doi.org/10.1109/isit54713.2023.10206801.

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Papazafeiropoulos, Anastasios, and Tharmalingam Ratnarajah. "Ergodic channel capacity for generalized fading channels." In 2014 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2014. http://dx.doi.org/10.1109/wcnc.2014.6951936.

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Islam, Mohammad Rakibul, Jinsang Kim, and Md Shamsul Arefin. "MIMOME channel secrecy capacity." In 2008 11th International Conference on Computer and Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccitechn.2008.4802990.

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Lebrun, G., M. Faulkner, M. Shafi, and P. J. Smith. "MIMO Ricean channel capacity." In 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577). IEEE, 2004. http://dx.doi.org/10.1109/icc.2004.1313068.

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Buyukcorak, Saliha, and Gunes Karabulut Kurt. "Mimo channel capacity measurements." In 2012 20th Signal Processing and Communications Applications Conference (SIU). IEEE, 2012. http://dx.doi.org/10.1109/siu.2012.6204679.

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Whiteson, Adam. "Streak-tube channel capacity." In San Diego - DL tentative, edited by Paul A. Jaanimagi. SPIE, 1992. http://dx.doi.org/10.1117/12.50529.

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Bartunik, Max, Matthias Streb, Harald Unterweger, Jakob Haller, and Jens Kirchner. "Increasing the Channel Capacity." In NANOCOM '21: The Eighth Annual ACM International Conference on Nanoscale Computing and Communication. ACM, 2021. http://dx.doi.org/10.1145/3477206.3477449.

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Reports on the topic "Channel capacity"

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Baker, C. R., and S. Ihara. Capacity of the Stationary Gaussian Channel. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada207254.

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Frey, Michael R. Capacity of the Independent Increment Noise Channel. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada235545.

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Baker, C. R., and S. Ihara. Information Capacity of the Stationary Gaussian Channel. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada215408.

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Bhandari, Vartika, and Nitin H. Vaidya. Connectivity and Capacity of Multi-Channel Wireless Networks with Channel Switching Constraints. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada486514.

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Moskowitz, Ira S., Patricia A. Lafferty, and Farid Ahmed. On LSB Spatial Domain Steganography and Channel Capacity. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada489843.

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Bhandari, Vartika, and Nitin H. Vaidya. Capacity of Multi-Channel Wireless Networks with Random Channel Assignment: A Tight Bound. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada495206.

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Friedland, Gerald, and Alfredo Metere. An Isomorphism between Lyapunov Exponents and Shannon's Channel Capacity. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1377767.

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Frey, Michael R. Capacity of the Poisson Channel with Random Noise Intensity. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207226.

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Heifetz, Alexander, Jafar Saniie, Xin Huang, et al. Evaluation of Acoustic Channel Capacity for Complex Piping Topology. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1571245.

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Bhandari, Vartika, and Nitin H. Vaidya. Capacity of Multi-Channel Wireless Networks with Random (c,f) Assignment. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada486638.

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