Academic literature on the topic 'Radio wave propagation – Computer programs'

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Journal articles on the topic "Radio wave propagation – Computer programs"

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Schmitz, A., T. Rick, T. Karolski, T. Kuhlen, and L. Kobbelt. "Efficient Rasterization for Outdoor Radio Wave Propagation." IEEE Transactions on Visualization and Computer Graphics 17, no. 2 (February 2011): 159–70. http://dx.doi.org/10.1109/tvcg.2010.96.

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Athanaileas, T. E., G. E. Athanasiadou, G. V. Tsoulos, and D. I. Kaklamani. "Parallel radio-wave propagation modeling with image-based ray tracing techniques." Parallel Computing 36, no. 12 (December 2010): 679–95. http://dx.doi.org/10.1016/j.parco.2010.08.002.

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Varela, Mercedes S�nchez, and Manuel Garc�a S�nchez. "EGPROM: An empirical-geometrical propagation model to simulate radio wave propagation and diversity reception." Computer Applications in Engineering Education 7, no. 2 (1999): 120–32. http://dx.doi.org/10.1002/(sici)1099-0542(1999)7:2<120::aid-cae5>3.0.co;2-m.

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Adjei-Frimpong, Bernard, and László Csurgai-Horváth. "Using Radio Wave Satellite Propagation Measurements for Rain Intensity Estimation." Infocommunications journal, no. 3 (2018): 2–8. http://dx.doi.org/10.36244/icj.2018.3.1.

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The European Space Agency launched a communication satellite called Alphasat in 2013, with two experimental beacons to carry out a scientific experiment by measurement at frequencies of 19.7 GHz and 39.4 GHz respectively. Propagation through the atmosphere at these frequencies is affected by the resence of atmospheric gases and other particles like water vapour, rain and ice drops. Rain attenuation is the most significant parameter which degrades the performance of the links by absorbing and scattering radio waves that can be determined as the measured received signal power’s deviation from the nominal, non-attenuated level. Rainfall statistical data are also measured and recorded by the propagation terminals to provide additional information to apply prediction methods that require minutes of integration time rain intensity.
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Manrique, Luis Carlos, Anthony Weiss, and Sandra Puentes. "Simulating Wave Propagation Distribution Through GIS Integration." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 18 (July 7, 2021): 82–90. http://dx.doi.org/10.37394/23209.2021.18.11.

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The use of electronic devices designed for user location estimation has become widely popular in the last decade. This is thanks to emergent technologies such as Bluetooth Low Energy, Radio-Frequency Identification, and Ultra-WideBand (UWB) among others. In the present study; the authors provide a method for using a Geographic Information System (GIS) to define spatial constraints, in order to simulate the lines of sight of anchors to make an informed selection of adequate locations for installation. By leveraging GIS, researchers or enterprises can improve the installation process by reducing costs while setting up arrangements that will ensure reliable data collection. We include a scenario illustrating the possibility of budget reduction of around 30% related to the orientation and survey of the devices.
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O'Donoghue, Padraic E., Charles E. Anderson, Gerald J. Friesenhahn, and Charles H. Parr. "A Constitutive Formulation for Anisotropic Materials Suitable for Wave Propagation Computer Programs." Journal of Composite Materials 26, no. 13 (December 1992): 1860–84. http://dx.doi.org/10.1177/002199839202601301.

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Gondarenko, Natalia A., Parvez N. Guzdar, Sidney L. Ossakow, and Paul A. Bernhardt. "Perfectly matched layers for radio wave propagation in inhomogeneous magnetized plasmas." Journal of Computational Physics 194, no. 2 (March 2004): 481–504. http://dx.doi.org/10.1016/j.jcp.2003.09.013.

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Aragon-Zavala, A., B. Belloul, V. Nikolopoulos, and S. R. Saunders. "Accuracy evaluation analysis for indoor measurement-based radio-wave-propagation predictions." IEE Proceedings - Microwaves, Antennas and Propagation 153, no. 1 (2006): 67. http://dx.doi.org/10.1049/ip-map:20045131.

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Sato, Yoshihito, Ryo Ishiyama, and Shigeki Takeda. "Analysis on ceiling space radio wave propagation in indoor environment." Electronics and Communications in Japan 103, no. 11-12 (October 6, 2020): 31–37. http://dx.doi.org/10.1002/ecj.12272.

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Anderson, Ch E., P. A. Cox, G. R. Johnson, and P. J. Maudlin. "A constitutive formulation for anisotropic materials suitable for wave propagation computer programs—II." Computational Mechanics 15, no. 3 (December 1994): 201–23. http://dx.doi.org/10.1007/bf00375030.

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Dissertations / Theses on the topic "Radio wave propagation – Computer programs"

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Kaya, Yildirim. "Simulation of wireless propagation and jamming in a high-rise building." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FKaya.pdf.

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Parameswaran, Subramanian T. "Software for site specific propagation prediction." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06232009-063433/.

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Wallace, Jon. "Modeling Electromagnetic Wave Propagation in Electrically Large Structures." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/91.

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Existing unified numerical electromagnetic methods are often unable to analyze electrically large structures due to the amount of memory and processing power required, necessitating approximate analyses with limited applicability. In this research a hybrid modeling methodology is adopted to solve these complex problems more efficiently than unified numerical methods and more accurately than analytical methods. Electromagnetic modeling problems are divided into two or more levels of scale. Each level analyzes a specific level of detail and only promotes the required information to the next level. The method is demonstrated by successful application to three important problems: (1) remote sensing of snow, (2) modeling an optical Bragg resonator, and (3) modeling the MIMO wireless channel. First, complex snow media is analyzed with a hybrid FDTD/radiative transfer model. FDTD is used to compute phase matrices and extinction coefficients required for radiative transfer. Comparison with exact analytical methods proves the validity of the FDTD method for modest domain sizes ([5λ^3]) and number of Monte Carlo realizations (32). The method is used to illustrate a penetrating sphere model, which is not possible with existing analysis techniques. Backscatter from the resulting model is about 3 times higher than that of existing dense-medium theories, underlying the importance of exact characterization of the media. Second, a hybrid FD/FDTD/S-parameter analysis is developed to model a large (10^4 section) optical Bragg resonator: a simple FD method computes propagation constants and field profiles, FDTD analysis provides reflection and transmission coefficients for the single section, and S-parameter analysis combines the sections to obtain the complete device response. A detailed study on error suggests that the method provides better than 2% accuracy in reflection and transmission response. Third, a hybrid electromagnetic/SVA model is developed to study the indoor MIMO wireless channel. A MIMO measurement platform is discussed for simultaneous probing of up to 16 transmit and receive antennas, which was required to assess the validity of later modeling. FDTD or MOM antenna analysis coupled with the SVA model gives capacity predictions which match measured data. The model is used to explore the impact of antenna spacing, directivity, and polarization on channel capacity. Closely spaced antennas lead to an approximate halving of receive power. Directivity effectively doubles receive power for aligned transmit and receive. Dual polarization increases system capacity anywhere from 10% to 70%, depending on the spacing of elements and the amount of multipath richness. This analysis of MIMO systems underlines the need for models that describe both multipath richness and average receive power.
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German, Gus R. "A ray-based investigation of the statistical characteristics and efficient representation of multi-antenna communication channels /." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd491.pdf.

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Forsberg, Nicklas, and Johan Säfholm. "Radioräckviddsberäkningar för flygande plattformar." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1080.

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There exist several known methods for calculation of radio coverage for ground-based systems. As far as we know there are no equivalent methods for the case of flying platforms when the altitudes and speeds are significantly different to those of ground-based systems.

This thesis describes the theoretical concepts behind calculations of radio coverage for flying platforms. An investigation is made to sort out what is important and possible to employ in a model for simulations. A method is described and implemented in a program for evaluation of flying radio systems. Two typical cases of flight missions are simulated and discussed.

It is found that the free space model is valid most of the mission time. The contribution from the antennas is found to be small in comparison to the path loss. Further investigations suggested are e.g. better ground reflection models and a better model for the flight mechanics.

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Oronsaye, Samuel Iyen Jeffrey. "Updating the ionospheric propagation factor, M(3000)F2, global model using the neural network technique and relevant geophysical input parameters." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1001609.

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This thesis presents an update to the ionospheric propagation factor, M(3000)F2, global empirical model developed by Oyeyemi et al. (2007) (NNO). An additional aim of this research was to produce the updated model in a form that could be used within the International Reference Ionosphere (IRI) global model without adding to the complexity of the IRI. M(3000)F2 is the highest frequency at which a radio signal can be received over a distance of 3000 km after reflection in the ionosphere. The study employed the artificial neural network (ANN) technique using relevant geophysical input parameters which are known to influence the M(3000)F2 parameter. Ionosonde data from 135 ionospheric stations globally, including a number of equatorial stations, were available for this work. M(3000)F2 hourly values from 1976 to 2008, spanning all periods of low and high solar activity were used for model development and verification. A preliminary investigation was first carried out using a relatively small dataset to determine the appropriate input parameters for global M(3000)F2 parameter modelling. Inputs representing diurnal variation, seasonal variation, solar variation, modified dip latitude, longitude and latitude were found to be the optimum parameters for modelling the diurnal and seasonal variations of the M(3000)F2 parameter both on a temporal and spatial basis. The outcome of the preliminary study was applied to the overall dataset to develop a comprehensive ANN M(3000)F2 model which displays a remarkable improvement over the NNO model as well as the IRI version. The model shows 7.11% and 3.85% improvement over the NNO model as well as 13.04% and 10.05% over the IRI M(3000)F2 model, around high and low solar activity periods respectively. A comparison of the diurnal structure of the ANN and the IRI predicted values reveal that the ANN model is more effective in representing the diurnal structure of the M(3000)F2 values than the IRI M(3000)F2 model. The capability of the ANN model in reproducing the seasonal variation pattern of the M(3000)F2 values at 00h00UT, 06h00UT, 12h00UT, and l8h00UT more appropriately than the IRI version is illustrated in this work. A significant result obtained in this study is the ability of the ANN model in improving the post-sunset predicted values of the M(3000)F2 parameter which is known to be problematic to the IRI M(3000)F2 model in the low-latitude and the equatorial regions. The final M(3000)F2 model provides for an improved equatorial prediction and a simplified input space that allows for easy incorporation into the IRI model.
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Spencer, Quentin H. "Transmission Strategies for Wireless Multi-user, Multiple-Input, Multiple-Output Communication Channels." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd378.pdf.

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Guise, Brian Mitchell. "Toward a real-time celestial body information system." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4685.

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The National Aeronautics and Space Administration maintains a challenging schedule of planned and on-going space exploration missions that extend to the outer reaches of our galaxy. New missions represent a huge investment, in terms of actual costs for equipment and support infrastructure, and personnel training. The success of a mission is critical considering both the monetary investment, and for manned missions, the lives which are put at risk. Tragedies involving Challenger, Columbia, Apollo 7, and the near tragedy of Apollo 13 exemplify that space exploration is a dangerous endeavor, posing extreme environmental conditions on both equipment and personnel. NASA, the National Science Foundation and numerous independent researchers indicate that predictive simulations have the potential to decrease risk and increase efficiency and effectiveness in space exploration activity. Simulations provide the capability to conduct planning and rehearsal of missions, allowing risk reducing designs and techniques to be discovered and tested. Real-time simulations may improve the quality of the response in a real-time crisis situation. The US Army developed Layered Terrain Format (LTF) database is a uniquely architected database approach that provides high fidelity representation of terrain and specialized terrain query functions that are optimized to support real-time simulations. This dissertation investigates the question; can the unique LTF database architecture be applied to the general problem of celestial body representation? And if so, what benefits might it bring for mission planners and personnel executing the mission? Due to data limitations, this research investigates these questions through a lunar analog setting involving S band and Earth-bound communication signals as might be needed to conduct manned and/or robotic mission on the moon.; The target terrain data set includes portions of the Black Point Lava Flow in Arizona which will be used for NASA's 2010 Desert RATS analog studies. Applied Research Associates Inc, the developer of the LTF product, generated Black Point databases and made limited modifications to the LTF Viewer tool, RAVEN, which is used for visualization of the database. Through the results attained during this research it is concluded that LTF product does provide a useful simulation capability which could be used by mission personnel both in pre-mission planning and during mission execution. Additionally, LTF is shown to have application an information system, allowing geo-specific data of interest to the mission to be implemented within its layers. The Florida Space Research & Education Grant Program sponsored by FSGC, Space Florida and UCF provided a grant of $31,500 to perform this research.
ID: 029334501; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2010.; Includes bibliographical references (p. 222-225).
Ph.D.
Doctorate
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
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Takahashi, Chad I. "Propagation modeling and site-planning software for wireless communications." Thesis, 2005. http://hdl.handle.net/10125/20549.

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"Function-based and physics-based hybrid modular neural network for radio wave propagation modeling." 1999. http://library.cuhk.edu.hk/record=b5890075.

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by Lee Wai Hung.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.
Includes bibliographical references (leaves 118-121).
Abstracts in English and Chinese.
Chapter 1 --- INTRODUCTION --- p.1
Chapter 1.1 --- Background --- p.1
Chapter 1.2 --- Structure of Thesis --- p.8
Chapter 1.3 --- Methodology --- p.8
Chapter 2 --- BACKGROUND THEORY --- p.10
Chapter 2.1 --- Radio Wave Propagation Modeling --- p.10
Chapter 2.1.1 --- Basic Propagation Phenomena --- p.10
Chapter 2.1.1.1 --- Propagation in Free Space --- p.10
Chapter 2.1.1.2 --- Reflection and Transmission --- p.11
Chapter 2.1.2 --- Practical Propagation Models --- p.12
Chapter 2.1.2.1 --- Longley-Rice Model --- p.13
Chapter 2.1.2.2 --- The Okumura Model --- p.13
Chapter 2.1.3 --- Indoor Propagation Models --- p.14
Chapter 2.1.3.1 --- Alexander Distance/Power Laws --- p.14
Chapter 2.1.3.2 --- Saleh Model --- p.15
Chapter 2.1.3.3 --- Hashemi Experiments --- p.16
Chapter 2.1.3.4 --- Path Loss Models --- p.17
Chapter 2.1.3.5 --- Ray Optical Models --- p.18
Chapter 2.2 --- Ray Tracing: Brute Force approach --- p.20
Chapter 2.2.1 --- Physical Layout --- p.20
Chapter 2.2.2 --- Antenna Information --- p.20
Chapter 2.2.3 --- Source Ray Directions --- p.21
Chapter 2.2.4 --- Formulation --- p.22
Chapter 2.2.4.1 --- Formula of Amplitude --- p.22
Chapter 2.2.4.2 --- Power Reference E o --- p.23
Chapter 2.2.4.3 --- Power spreading with path length 1/d --- p.23
Chapter 2.2.4.4 --- Antenna Patterns --- p.23
Chapter 2.2.4.5 --- Reflection and Transmission Coefficients --- p.24
Chapter 2.2.4.6 --- Polarization --- p.26
Chapter 2.2.5 --- Mean Received Power --- p.26
Chapter 2.2.6 --- Effect of Thickness --- p.27
Chapter 2.3 --- Neural Network --- p.27
Chapter 2.3.1 --- Architecture --- p.28
Chapter 2.3.1.1 --- Multilayer feedforward network --- p.28
Chapter 2.3.1.2 --- Recurrent Network --- p.29
Chapter 2.3.1.3 --- Fuzzy ARTMAP --- p.29
Chapter 2.3.1.4 --- Self organization map --- p.30
Chapter 2.3.1.5 --- Modular Neural network --- p.30
Chapter 2.3.2 --- Training Method --- p.32
Chapter 2.3.3 --- Advantages --- p.33
Chapter 2.3.4 --- Definition --- p.34
Chapter 2.3.5 --- Software --- p.34
Chapter 3 --- HYBRID MODULAR NEURAL NETWORK --- p.35
Chapter 3.1 --- Input and Output Parameters --- p.35
Chapter 3.2 --- Architecture --- p.36
Chapter 3.3 --- Data Preparation --- p.42
Chapter 3.4 --- Advantages --- p.42
Chapter 3.5 --- Limitation --- p.43
Chapter 3.6 --- Applicable Environment --- p.43
Chapter 4 --- INDIVIDUAL MODULES IN HYBRID MODULAR NEURAL NETWORK --- p.45
Chapter 4.1 --- Conversion between spherical coordinate and Cartesian coordinate --- p.46
Chapter 4.1.1 --- Architecture --- p.46
Chapter 4.1.2 --- Input and Output Parameters --- p.47
Chapter 4.1.3 --- Testing result --- p.48
Chapter 4.2 --- Performing Rotation and translation transformation --- p.53
Chapter 4.3 --- Calculating a hit point --- p.54
Chapter 4.3.1 --- Architecture --- p.55
Chapter 4.3.2 --- Input and Output Parameters --- p.55
Chapter 4.3.3 --- Testing result --- p.56
Chapter 4.4 --- Checking if an incident ray hits a Scattering Surface --- p.59
Chapter 4.5 --- Calculating separation distance between source point and hitting point --- p.59
Chapter 4.5.1 --- Input and Output Parameters --- p.60
Chapter 4.5.2 --- Data Preparation --- p.60
Chapter 4.5.3 --- Testing result --- p.61
Chapter 4.6 --- Calculating propagation vector of secondary ray --- p.63
Chapter 4.7 --- Calculating polarization vector of secondary ray --- p.63
Chapter 4.7.1 --- Architecture --- p.64
Chapter 4.1.2 --- Input and Output Parameters --- p.65
Chapter 4.7.3 --- Testing result --- p.68
Chapter 4.8 --- Rejecting ray from simulation --- p.72
Chapter 4.9 --- Calculating receiver signal --- p.73
Chapter 4.10 --- Further comment on preparing neural network --- p.74
Chapter 4.10.1 --- Data preparation --- p.74
Chapter 4.10.2 --- Batch training --- p.75
Chapter 4.10.3 --- Batch size --- p.78
Chapter 5 --- CANONICAL EVALUATION OF MODULAR NEURAL NETWORK --- p.80
Chapter 5.1 --- Typical environment simulation compared with ray launching --- p.80
Chapter 5.1.1 --- Free space --- p.80
Chapter 5.1.2 --- Metal ground reflection --- p.81
Chapter 5.1.3 --- Dielectric ground reflection --- p.84
Chapter 5.1.4 --- Empty Hall --- p.86
Chapter 6 --- INDOOR PROPAGATION ENVIRONMENT APPLICATION --- p.90
Chapter 6.1 --- Introduction --- p.90
Chapter 6.2 --- Indoor measurement on the Third Floor of Engineering Building --- p.90
Chapter 6.3 --- Comparison between simulation and measurement result --- p.92
Chapter 6.3.1 --- Path 1 --- p.93
Chapter 6.3.2 --- Path 2 --- p.95
Chapter 6.3.3 --- Path 3 --- p.97
Chapter 6.3.4 --- Path 4 --- p.99
Chapter 6.3.5 --- Overall Performance --- p.100
Chapter 6.4 --- Delay Spread Analysis --- p.101
Chapter 6.4.1 --- Location 1 --- p.103
Chapter 6.4.2 --- Location 2 --- p.105
Chapter 6.4.3 --- Location 3 --- p.107
Chapter 6.4.4 --- Location 4 --- p.109
Chapter 6.4.5 --- Location 5 --- p.111
Chapter 6.5 --- Summary --- p.112
Chapter 7 --- CONCLUSION --- p.I
Chapter 7.1 --- Summary --- p.113
Chapter 7.2 --- Recommendations for Future Work --- p.115
PUBLICATION LIST --- p.117
BIBLIOGRAHY --- p.118
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Books on the topic "Radio wave propagation – Computer programs"

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Ghasemi, Abdollah. Propagation Engineering in Radio Links Design. New York, NY: Springer New York, 2013.

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DeMinco, N. Ground-wave analysis model for MF broadcast systems. Boulder, Colo: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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DeMinco, N. Ground-wave analysis model for MF broadcast systems. Boulder, Colo: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Ebersole, Bruce A. Regional coastal processes numerical modeling system: Report 1, RCPWAVE--a linear wave propagation model for engineering use. Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1986.

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P, Mariño-Espiñeira, ed. Modeling the wireless propagation channel: A simulation approach with Matlab. Chichester, West Sussex, England: Wiley, 2008.

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Dayton, James A. Computer analysis of spectrum anomaly in 32-GHz traveling-wave tube for Cassini mission. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.

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Chavannes, Nicolas Pierre. Local mesh refinement algorithms for enhanced modeling capabilities in the FDTD method. Konstanz: Hartung-Gorre, 2002.

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R, Hand G., United States. National Telecommunications and Information Administration., and Voice of America (Organization), eds. Users' guide and reference manual for the VOACAP and REC533 Circuit Analysis Programs. [Boulder, Colo.]: U.S. Dept. of commerce, National Telecommunications and Information Administration, 1993.

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Ghasemi, Abdollah, Ali Abedi, and Farshid Ghasemi. Propagation Engineering in Radio Links Design. Springer, 2013.

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Ghasemi, Abdollah, Ali Abedi, and Farshid Ghasemi. Propagation Engineering in Radio Links Design. Springer, 2013.

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Book chapters on the topic "Radio wave propagation – Computer programs"

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Wang, Jizhang, Yuli Peng, and Pingping Li. "Propagation Characteristics of Radio Wave in Plastic Greenhouse." In Computer and Computing Technologies in Agriculture IX, 208–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48357-3_20.

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Güneş, Mesut, and Martin Wenig. "Models for Realistic Mobility and Radio Wave Propagation for Ad Hoc Network Simulations." In Computer Communications and Networks, 255–80. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-328-6_11.

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Debnath, Pampa, and Arpan Deyasi. "Transmission Line and Its Implementation." In Contemporary Developments in High-Frequency Photonic Devices, 39–55. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8531-2.ch003.

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In unbounded media, wave propagation is supposed to be unguided. The existence of uniform plane wave is considered to be all through the space. Electromagnetic energy related with the wave stretched over a broad area. In TV and radio broadcasting, unbounded medium propagation of the wave is required. Here transmission of information is destined for one and all who may be interested. Another way of transmitting information is by guided media. Guided media acts to direct the transmission of energy from transmitter to receiver. Transmission lines are usually used in low frequency power distribution and in high frequency communications as well as in the ethernet and internet in computer networks. Two or more parallel conductors may be used to construct a transmission line, which connects source to a load. Typical transmission lines consist of coaxial line, waveguide, microstrip line, coplanar waveguide, etc. In this chapter, problems related with transmission lines are solved with the help of EM field theory and electric circuit theory.
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Conference papers on the topic "Radio wave propagation – Computer programs"

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Zi Huang, Chen Lan, Yirong Wang, Manyu Liang, Jing Hu, and Tiecheng Song. "Radio Wave Propagation Prediction Based on Path Sequence Regression." In 2020 IEEE 6th International Conference on Computer and Communications (ICCC). IEEE, 2020. http://dx.doi.org/10.1109/iccc51575.2020.9345006.

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Lapshina, I. R., A. V. Karpov, and A. I. Sulimov. "Computer Simulation of Forward-Backward Scattering Meteor Trails." In 2019 Russian Open Conference on Radio Wave Propagation (RWP). IEEE, 2019. http://dx.doi.org/10.1109/rwp.2019.8810348.

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Dalela, Chhaya. "Tuning Of Cost-231 hata Model for Radio Wave Propagation Predictions." In The Second International Conference on Computer Science, Engineering and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2012. http://dx.doi.org/10.5121/csit.2012.2227.

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Ishmuratov, Rashid A., and Sergei A. Kalabanov. "Computer Simulation of Efficiency Estimation of Angular Measuring with Antenna System of Meteor Radar." In 2019 Russian Open Conference on Radio Wave Propagation (RWP). IEEE, 2019. http://dx.doi.org/10.1109/rwp.2019.8810171.

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He, Zi-Long, and Hai-Xun Yu. "A graph theoretic method for modeling urban scenarios radio wave propagation." In 2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2013. http://dx.doi.org/10.1109/iccwamtip.2013.6716637.

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Suzuki, Yuko, and Manabu Omiya. "Computer simulations for a site-specific modeling of indoor radio wave propagation." In TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE, 2016. http://dx.doi.org/10.1109/tencon.2016.7847972.

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Pinem, Maksum, Nur Syafruddin, Ali Hanafiah Rambe, Suherman, and M. Zulfin. "Characterization of Path Loss for Radio Wave Propagation Over the Sea in 4G Network." In 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM). IEEE, 2020. http://dx.doi.org/10.1109/elticom50775.2020.9230500.

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Korakianitis, Theodosios. "On the Propagation of Viscous Wakes and Potential Flow in Axial-Turbine Cascades." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-373.

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This paper investigates the propagation of pressure disturbances due to potential-flow interaction and viscous-wake interaction from upstream blade rows in axial-turbine-blade rotor cascades. Results are obtained by modeling the effects of the stator viscous wake and the stator potential-flow field on the rotor flow field. A computer program is used to calculate the unsteady flow fields. The amplitudes for the two types of interaction are based on a review of available experimental and computational data. We study the propagation of the isolated potential-flow interaction (no viscous-wake interaction), of the isolated viscous wake interaction (no potential-flow interaction), and of the combination of interactions. The discussion uses as example a lightly-loaded cascade for a stator-to-rotor-pitch ratio R = 2. We examine the relative magnitudes of the unsteady forces for two different stator-exit angles. We also explain the expected differences when the stator-to-rotor pitch ratio is decreased (to R = 1) and increased (to R = 4). We offer new and previously unpublished explanations of the mechanisms of generation of unsteady forces on the blades. The potential flow field of the rotor cuts into the potential flow field of the stator. After the potential-flow disturbance from the stator is cut into a rotor cascade, it propagates into the relative flow field of the rotor passage as a potential-flow disturbance. The potential flow field of the rotor near the leading edge and the leading edge itself cut into the wake and generate two counter-rotating vortical patterns flanking the wake centerline in the passage. The vortical pattern upstream of the wake centerline generates an increase in the local pressure (and in the forces acting on the sides of the passage). The vortical pattern downstream of the wake centerline generates a decrease in the local pressure (and in the forces acting on the sides of the passage). The resulting unsteady forces on the blades are generated by the combined (additive) interaction of the two disturbances.
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Chusov, Andrey, Alina Protopopova, and Alexey Lysenko. "Parallel Computer Simulation of Radio Wave Propagation Over Large Urban Areas and Irregular Terrain." In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2018. http://dx.doi.org/10.1109/icccnt.2018.8494160.

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10

Alam, Imtiaz. "Modeling, Estimation and Experimentation for Radio-wave Propagation for Optimizing Opex and Capex in NG Networks." In 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2019. http://dx.doi.org/10.1109/icecce47252.2019.8940770.

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