Academic literature on the topic 'Spatial channel'
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Journal articles on the topic "Spatial channel"
Jinno, Masahiko. "Spatial Channel Cross-Connect Architectures for Spatial Channel Networks." IEEE Journal of Selected Topics in Quantum Electronics 26, no. 4 (July 2020): 1–16. http://dx.doi.org/10.1109/jstqe.2020.2975660.
Full textIqbal, Zahid, Fei Ji, and Yun Liu. "Virtual Spatial Channel Number and Index Modulation." Wireless Communications and Mobile Computing 2021 (September 11, 2021): 1–10. http://dx.doi.org/10.1155/2021/2982226.
Full textDENNIS, S. C. R., W. H. H. BANKS, P. G. DRAZIN, and M. B. ZATURSKA. "Flow along a diverging channel." Journal of Fluid Mechanics 336 (April 10, 1997): 183–202. http://dx.doi.org/10.1017/s0022112096004648.
Full textCogalan, T., H. Haas, and E. Panayirci. "Optical spatial modulation design." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190195. http://dx.doi.org/10.1098/rsta.2019.0195.
Full textSaleem, Ayesha Bint, Syed Ali Hassan, and Haejoon Jung. "Channel Estimation for Spatial Modulation Schemes in Spatially Correlated Time Varying Channels." IEEE Transactions on Vehicular Technology 70, no. 5 (May 2021): 5143–48. http://dx.doi.org/10.1109/tvt.2021.3075734.
Full textAbouda, A. A., and N. G. Tarhuni. "MIMO Channel Gain Mechanisms Relative to SISO Channel." Journal of Engineering Research [TJER] 7, no. 2 (December 1, 2010): 40. http://dx.doi.org/10.24200/tjer.vol7iss2pp40-47.
Full textDavis, Mark Franklin. "Audio channel spatial translation." Journal of the Acoustical Society of America 128, no. 1 (2010): 509. http://dx.doi.org/10.1121/1.3472297.
Full textFan, Wei, Pekka Kyösti, Jesper Ø. Nielsen, Lassi Hentilä, and Gert F. Pedersen. "Emulating Realistic Bidirectional Spatial Channels for MIMO OTA Testing." International Journal of Antennas and Propagation 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/289843.
Full textNdzi, David L., Nick Savage, and Boris Gremont. "Spatial and Temporal Variation of Wideband Indoor Channels." International Journal of Antennas and Propagation 2010 (2010): 1–11. http://dx.doi.org/10.1155/2010/735434.
Full textJain, Faquir, Bander Saman, Raja Hari Gudlavalleti, John Chandy, and Evan Heller. "Multi-State 2-Bit CMOS Logic Using n- and p- Quantum Well Channel Spatial Wavefunction Switched (SWS) FETs." International Journal of High Speed Electronics and Systems 27, no. 03n04 (September 2018): 1840020. http://dx.doi.org/10.1142/s0129156418400207.
Full textDissertations / Theses on the topic "Spatial channel"
Lee, Hong Seng. "Spatial channel model /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426081.
Full textSasiakos, Christos. "A 3D spatial channel model for cellular radio." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA384906.
Full textKilfoyle, Daniel B. (Daniel Brian). "Spatial modulation in the underwater acoustic communication channel." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/29046.
Full textVita.
Includes bibliographical references (leaves 180-181).
A modulation technique for increasing the reliable data rate achievable by an underwater acoustic communication system is presented and demonstrated. The technique, termed spatial modulation, seeks to control the spatial distribution of signal energy such that multiple parallel communication channels are supported by the single, physical ocean channel. Results from several experiments successfully demonstrate higher obtainable data rates and power throughput. Given a signal energy constraint, a communication architecture with access to parallel channels will have increased capacity and reliability as compared to one with access to a single channel. Assuming the use of multiple element spatial arrays at both the transmitter and receiver, an analytic framework is developed that allows a multiple input, multiple output physical channel to be transformed into a set of virtual parallel channels. The continuous time, vector singular value decomposition is the primary vehicle for this transformation. Given knowledge of the channel impulse responses and assuming additive, white Gaussian noise as the only interference, the advantages of using spatial modulation over a deterministic channel may be exactly computed. Improving performance over an ensemble of channels using spatial modulation is approached by defining and then optimizing various average performance metrics including average signal to noise ratio, average signal to noise plus interference ratio, and minimum square error. Several field experiments were conducted. Detailed channel impulse response measurements were made enabling application of the decomposition methodology. The number, strength, and stability of the available parallel channels were analyzed. The parallel channels were readily interpreted in terms of the underlying sound propagation field. Acoustic communication tests were conducted comparing conventional coherent modulation to spatial modulation. In one case, a reliable data rate of 24000 bits per second with a 4 kHz bandwidth signal was achieved with spatial modulation when conventional signaling could not achieve that rate. In another test, the benefits of spatial modulation for a horizontally distributed communication system, such as an underwater network with autonomous underwater vehicles, were validated.
by Daniel Brian Kilfoyle.
Ph.D.
Downs, Peter William. "Spatial variations in river channel adjustments : implications for channel management in south-east England." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315506.
Full textWilliams, Ian E. "Channel Equalization and Spatial Diversity for Aeronautical Telemetry Applications." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605946.
Full textThis work explores aeronautical telemetry communication performance with the SOQPSK- TG ARTM waveforms when frequency-selective multipath corrupts received information symbols. A multi-antenna equalization scheme is presented where each antenna's unique multipath channel is equalized using a pilot-aided optimal linear minimum mean-square error filter. Following independent channel equalization, a maximal ratio combining technique is used to generate a single receiver output for detection. This multi-antenna equalization process is shown to improve detection performance over maximal ratio combining alone.
Stuart, Kenneth. "Wideband channel sounder development and investigation of spatial and temporal variations in wireless communication channels." Thesis, University of Portsmouth, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.478920.
Full textFu, Yu. "Performance investigation of spatial modulation systems under realistic channel models." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3032.
Full textYang, Yanling. "MIMO Channel Spatial Covariance Estimation: Analysis Using a Closed-Form Model." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2488.
Full textIannucci, Peter Anthony. "Wireless communication and localization systems under spatial and temporal channel variations." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121651.
Full textThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 209-218).
Wireless signals inevitably vary in time and space. The three chapters of this dissertation revolve around the exploitation of signal variations. This line of work has yielded new link-layer protocols for rateless codes on half-duplex additive white Gaussian noise channels; a new abstraction for short-range mobile-to-mobile and mobile-to-infrastructure "room-area" networks that adhere to the spatial boundaries of human conversation; a reduced-complexity tone reservation algorithm for optimizing signals to avoid amplifier non-linearities; and new tools for the study of physical-layer privacy and anonymity in wireless systems.
by Peter Anthony Iannucci.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Wagenbrenner, Joseph William. "Post-fire stream channel processes| Changes in runoff rates, sediment delivery across spatial scales, and mitigation effectiveness." Thesis, Washington State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3598132.
Full textWildfires dramatically affect hydrologic processes including runoff and erosion, which in turn can impact society. Disturbance by fire creates ecosystem heterogeneity, prompting many species to adapt to fire cycles. Human impacts have altered fire frequency and affected natural systems to the point that additional landscape-scale disturbances may cause a disruption in ecosystem form and function. The altered ecosystems and increased development in forests may exacerbate post-fire impacts, affecting more of the population in fire-prone regions.
The following three studies will improve our understanding and management of post-fire impacts on stream channel processes. A catchment in eastern Arizona where runoff data were collected between 1962 and 1983 was subsequently burned by a wildfire in 2011. The direct comparison of pre and post-fire runoff showed that the fire made runoff more rapid, increased peak discharge rates, and compressed the time scale of storm hydrographs. These results can help improve post-fire runoff modeling and management efforts.
The second topic addressed the scaling of sediment delivery across hillslope and small catchment scales. Erosion data used in this study were from the Arizona site and five other sites across the western US. Results from five of the six sites showed that sediment delivery significantly decreased with increasing spatial extent, while the lack of trend at the sixth site illustrates the variability in erosion responses across ecosystems. The relationships developed in this study will help improve estimates of sediment delivery rates at the small-catchment scale using more easily acquired data from small plots.
The third study addressed whether straw bale check dams reduce post-fire sediment yields or affect ephemeral stream channel morphology. A series of laboratory flume experiments based on measured post-fire field conditions showed that check dams can store sediment from initial runoff events, but that a large number of check dams would be needed to reduce post-fire sediment yields. The stored sediment reduced the local channel gradient, but the check dams did not otherwise affect the channel morphology. These data and field observations were used to develop a check dam classification system that can be applied in ephemeral streams in burned or unburned areas.
Books on the topic "Spatial channel"
Kilfoyle, Daniel B. Spatial modulation in the underwater acoustic communication channel. Cambridge, Mass: Massachusetts Institute of Technology, 2000.
Find full textSasiakos, Christos. A 3D spatial channel model for cellular radio. Monterey, Calif: Naval Postgraduate School, 2000.
Find full textJacobson, Robert B. Riparian-vegetation controls on the spatial pattern of stream-channel instability, Little Piney Creek, Missouri. [Washington, D.C.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.
Find full textChakravorty, Ujjayant. Basinwide water management: A spatial model. Milan: Fondazione Eni Enrico Mattei, 2000.
Find full textJake, Piper, ed. Spatial planning and climate change. Milton Park, Abingdon, Oxon: Routledge, 2011.
Find full textSureshan, Selvarajah. Estimation of changes in spatial interaction using incremental growth. Ottawa: National Library of Canada, 1994.
Find full textJanis, Michael J. Multivariate spatial interpolation of monthly precipitation. Elmer, N.J: C.W. Thornthwaite Associates, Laboratory of Climatology, 1995.
Find full textservice), SpringerLink (Online, ed. Adaptation to Climate Change: A Spatial Challenge. Dordrecht: Springer Science+Business Media B.V., 2009.
Find full textMiller, Richard F. Spatial and temporal changes of sage grouse habitat in the sagebrush biome. Corvallis, Or: Oregon State University, Agricultural Experiment Station, 2000.
Find full textSimin, Davoudi, Crawford Jenny, and Mehmood Abid, eds. Planning for climate change: Strategies for mitigation and adaptation for spatial planners. London: Earthscan, 2009.
Find full textBook chapters on the topic "Spatial channel"
Xie, Bosun. "Two-channel stereophonic sound." In Spatial Sound, 71–123. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003081500-2.
Full textBhowal, Anirban, and Rakhesh Singh Kshetrimayum. "Channel Model." In Advanced Spatial Modulation Systems, 25–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9960-6_2.
Full textMalik, Wasim Q., Junsheng Liu, Ben Allen, and David J. Edwards. "Ultra-Wideband Spatial Channel Characteristics." In Ultra-Wideband, 361–83. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470056843.ch17.
Full textLord, J. Dennis, and Jac L. Goldstucker. "Spatial Changes in British Retailing: A Channel Metamorphosis." In Proceedings of the 1988 Academy of Marketing Science (AMS) Annual Conference, 61–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17046-6_12.
Full textYu, Francis T. S. "Optical Spatial Channel and Encoding Principles." In Entropy and Information Optics, 35–44. Second edition. | Boca Raton : Taylor & Francis, CRC Press,2017.: CRC Press, 2017. http://dx.doi.org/10.1201/b22443-3.
Full textMandal, Bijoy Kumar, and Ankita Pramanik. "Channel Estimation in Massive MIMO with Spatial Channel Correlation Matrix." In Intelligent Computing Techniques for Smart Energy Systems, 377–85. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_42.
Full textDu, Jingwei, Lihua Zhou, Guowang Du, Lizhen Wang, and Yiting Jiang. "Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution." In Spatial Data and Intelligence, 133–53. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24521-3_10.
Full textZhong, Yane, Fangjun Huang, and Dong Zhang. "New Channel Selection Criterion for Spatial Domain Steganography." In Digital Forensics and Watermaking, 1–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40099-5_1.
Full textYingwei, Luo, Xiong Guomin, Wang Xiaolin, and Xu Zhuoqun. "Spatial Data Channel in a Mobile Navigation System." In Computational Science and Its Applications – ICCSA 2005, 822–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424826_88.
Full textThiergart, Oliver, and Emanuël Habets. "Multi-Channel Sound Acquisition Using a Multi-Wave Sound Field Model." In Parametric Time-Frequency Domain Spatial Audio, 161–99. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119252634.ch7.
Full textConference papers on the topic "Spatial channel"
Wu, Xiping, Marco Di Renzo, and Harald Haas. "Spatially-Averaging Channel Estimation for Spatial Modulation." In 2014 IEEE 80th Vehicular Technology Conference (VTC Fall). IEEE, 2014. http://dx.doi.org/10.1109/vtcfall.2014.6966183.
Full textKiamilev, F. E., and R. G. Rozier. "Design of Optoelectronic-VLSI ICs for Optically-Accessed SRAMs." In Spatial Light Modulators. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/slmo.1997.sma.4.
Full textIbrahim, M., W. Al-Aqqad, F. Romer, M. Kaske, S. Semper, R. S. Thoma, and G. Del Galdo. "Compressive spatial channel sounding." In 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0472.
Full textHirota, Yusuke, Hideaki Furukawa, Hiroaki Harai, and Naoya Wada. "A Fractionally Spatial Super-Channel Switching System Design with Spatial Channel Slicing." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647603.
Full textJia, Min, Xuemai Gu, Sebin Im, and Hyungjin Choi. "An efficient OFDM channel estimation method for satellite and intermediate module repeater channels in DMB system." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.775266.
Full textPham, Viet-Ha, Jean-Yves Chouinard, Dominic Grenier, and Huu-Tue Huynh. "Spatial channel and system characterization." In 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760526.
Full textXiping Wu, Marco Di Renzo, and Harald Haas. "Channel estimation for spatial modulation." In 2013 IEEE 24th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2013. http://dx.doi.org/10.1109/pimrc.2013.6666151.
Full textXu, Wenyuan, Timothy Wood, Wade Trappe, and Yanyong Zhang. "Channel surfing and spatial retreats." In the 2004 ACM workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1023646.1023661.
Full textWang, Yi, Zhenyu Shi, Lei Huang, Ziming Yu, and Chang Cao. "An Extension of Spatial Channel Model with Spatial Consistency." In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 2016. http://dx.doi.org/10.1109/vtcfall.2016.7880902.
Full textGao, Fei, Jinping Sun, Xia Bai, and Zhenming Yu. "A new GMTI detector based on spaceborne single channel SAR." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.774794.
Full textReports on the topic "Spatial channel"
Krishnan, Michael N. Exploiting Spatial Channel Occupancy Information in WLANs. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada605338.
Full textMoskowitz, Ira S., Patricia A. Lafferty, and Farid Ahmed. On LSB Spatial Domain Steganography and Channel Capacity. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada489843.
Full textStevens, James A. Spatial Reuse through Dynamic Power and Routing Control in Common-Channel Random-Access Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada197898.
Full textMayne, Casey, David May, and David Biedenharn. Empirical analysis of effects of dike systems on channel morphology and flowlines. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/39799.
Full textStewart, J., T. Baginski, A. Sicherman, G. Greene, and A. Smith. Spatial And Quantitative Approache to Incorporating Stakeholder Values into Total Maximum Daily Loads: Dominguez Channel Case Study Final Report. Office of Scientific and Technical Information (OSTI), February 2007. http://dx.doi.org/10.2172/900859.
Full textEckert, Fabian, and Michael Peters. Spatial Structural Change. Cambridge, MA: National Bureau of Economic Research, September 2022. http://dx.doi.org/10.3386/w30489.
Full textLauth, Timothy, David Biedenharn, Travis Dahl, Casey Mayne, Keaton Jones, Charles Little, Joseph Dunbar, Samantha Lucker, and Nalini Torres. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers : geomorphic assessment. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45143.
Full textKularatne, Dhanushka N., Subhrajit Bhattacharya, and M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.
Full textNelson, Alex, Stanford A. Gibson, and Alex Sanchez. Development of a two-dimensional HEC-RAS sediment model for the Chippewa River, Wisconsin, for software development and sediment trend analysis. U.S. Army Engineer Research and Development Center, June 2022. http://dx.doi.org/10.21079/11681/44561.
Full textKurvinen, L., M. Sahla, E. Virtanen, M. Westerbom, and J. Ekebom. Effects of projected climate change induced changes in wind patterns on the spatial distribution of blue mussels. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305878.
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