Academic literature on the topic 'Mobile signal'
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Journal articles on the topic "Mobile signal"
Hoole, Paul Ratnamahilan Polycarp, Lwin Maw Abdul Raheem, Ramiah Harikrishnan, Kanesan Jeevan, and Samuel Ratnajeevan Herbert Hoole. "A Three-Element Handheld Mobile Communication Antenna for Desired Signal Reception and Reflected Signal Cancellation." Materials Science Forum 721 (June 2012): 153–58. http://dx.doi.org/10.4028/www.scientific.net/msf.721.153.
Full textPuspitasari, Nutri, Siti Nurrochmah, and Dona Sandy Yudasmara. "PENGEMBANGAN MEDIA PELATIHAN SIGNAL-SIGNAL WASIT BOLAVOLI MENGGUNAKAN M-LEARNING." Gelanggang Pendidikan Jasmani Indonesia 1, no. 2 (December 31, 2017): 238. http://dx.doi.org/10.17977/um040v1i2p238-245.
Full textSpringer, David B., Thomas Brennan, Ntobeko Ntusi, Hassan Y. Abdelrahman, Liesl J. Zühlke, Bongani M. Mayosi, Lionel Tarassenko, and Gari D. Clifford. "Automated signal quality assessment of mobile phone-recorded heart sound signals." Journal of Medical Engineering & Technology 40, no. 7-8 (September 23, 2016): 342–55. http://dx.doi.org/10.1080/03091902.2016.1213902.
Full textKozel, V. M., D. A. Podvornaya, and K. A. Kovalev. "Peal factor of signals of 5G mobile service systems." Doklady BGUIR 18, no. 6 (October 1, 2020): 5–10. http://dx.doi.org/10.35596/1729-7648-2020-18-6-5-10.
Full textWang, Hai, Baoshen Guo, Shuai Wang, Tian He, and Desheng Zhang. "CSMC." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–22. http://dx.doi.org/10.1145/3494959.
Full textSârbu, Annamaria, Paul Bechet, and Simona Miclăuș. "Mobile Phone User Exposure Assessment to UMTS and LTE Signals at Mobile Data Turn on by Applying an Original Method." International conference KNOWLEDGE-BASED ORGANIZATION 23, no. 3 (June 27, 2017): 114–19. http://dx.doi.org/10.1515/kbo-2017-0164.
Full textKim, Hyung-Bae, Man-Jun Kwon, Eun-Jong Cha, and Myung-Geun Chun. "Bio-Signal Acquisition System Using Mobile Device." Journal of Korean Institute of Intelligent Systems 15, no. 3 (June 1, 2005): 349–54. http://dx.doi.org/10.5391/jkiis.2005.15.3.349.
Full text., Aditya Kumar Dwivedi. "MOBILE SECURITY USING WI-FI SIGNAL STRENGTH." International Journal of Research in Engineering and Technology 03, no. 22 (June 25, 2014): 44–45. http://dx.doi.org/10.15623/ijret.2014.0322009.
Full textAngel Mercy, T., J. Jeshua Linu, and P. Subha Hency Jose. "Bio-Signal Monitoring System using Mobile Phone." DJ Journal of Advances in Electronics and Communication Engineering 4, no. 2 (May 26, 2018): 11–16. http://dx.doi.org/10.18831/djece.org/2018021002.
Full textLim, Beomjae, Byunghun Jeong, and Jungsun Kim. "Mobile Attendance System using Bluetooth Signal Strength." KIISE Transactions on Computing Practices 24, no. 6 (June 30, 2018): 307–11. http://dx.doi.org/10.5626/ktcp.2018.24.6.307.
Full textDissertations / Theses on the topic "Mobile signal"
Athanasiadis, Tasso, and tas atha@bigpond net au. "Signal Processing Techniques for Mobile Multimedia Systems." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080123.115457.
Full textGOMES, RENATO ARREGUI. "RADIO SIGNAL BEHAVIOUR ON MICROCELLULAR MOBILE ENVIRONMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1999. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7473@1.
Full textCom o aumento da demanda pelos serviços celulares se faz necessário estudar e desenvolver técnicas cada vez mais sofisticadas para a melhoria da capacidade e da qualidade dos sistemas celulares. Uma destas é a utilização moderada de microcélulas em regiões urbanas, e em algumas situações em regiões suburbanas. Os maiores problemas da utilização de microcélulas são suas características de propagação, bem diferentes das características das células convencionais. Para melhor compreender as características de propagação de um sinal rádio móvel num ambiente microcelular, este trabalho se propôs a fazer um estudo experimental onde, fenômenos como forma de células, efeitos de sombreamento, multipercurso e outros, foram analisados. Um laboratório móvel foi montado e uma grande campanha de medidas foi realizada em ambientes urbanos de características diferentes. Análises determinísticas e estatísticas, foram realizadas para se determinar parâmetros como o fator de queda do sinal com a distância e o desvio padrão da variabilidade do sinal. Estes resultados são importantes para o cálculo aproximado da cobertura do sinal em regiões semelhantes às estudadas. Especial atenção foi dada ao cálculo do ponto de quebra da dependência do sinal com a distância. Este ponto define a transição entre a região de campo próximo e a região de difração, sendo fundamental para estudos de cobertura. Uma importante contribuição foi na determinação da dependência da cobertura do sinal com a altura da antena transmissora. Os resultados medidos ajudaram a caracterizar a célula e conseqüentemente obter informações para localizações ótimas das altura das antenas, além de definir a melhor cobertura que estas alturas podem oferecer. Uma análise estatística da variabilidade do sinal foi realizada e distribuições de probabilidade foram testados frente aos resultados experimentais. A determinação de parâmetros importantes destas distribuições ajudou na verificação da aderência destes modelos aos resultados medidos. Os resultados são de extrema importância para esclarecer aspectos de propagação do sinal em microcélulas e disponibilizar dados para a elaboração de modelos de predição para o cálculo da cobertura do sinal para o projetista, resultando numa melhoria da qualidade e da capacidade do sistema microcelular.
The ever-increasing demand for cellular services raises the necessity of developing more sophisticated techniques to improve system quality and capacity. One of the techniques is the use of microcells in urban and occasionally suburban regions. However, the major problems facing the microcell deployment are the microcells peculiar propagation characteristics, which are very different from the conventional cellular systems. In order to address this problem, an experimental study of cell shape, shadowing effects and multipath, was carried out. A mobile laboratory was assembled and extensive measurements on different urban environments were performed. Deterministic and statistical analysis were carried out to find the parameters such as path loss versus distance factor, and the standard deviation of signal variability. Special attention was given to the determination of the breaking point, transition between the near field and diffraction regions on line-of-sight path. An important contribution was on the study of the effects of transmitter antenna height on coverage. The measured results will help on cell characterization and on finding the best height for the base station antennas. A statistical analysis of signal variability was performed to determine the best-fit probability distribution function with parameters carefully calculated. The collected results are of extreme importance to clarify propagation aspects of microcellular signal and to make it available a huge data bank for elaboration of better prediction models which will produce better quality and capacity of the microcellular systems.
Landqvist, Ronnie. "Signal processing techniques in mobile communication systems : signal separation, channel estimation and equalization /." Karlskrona : Blekinge Institute of Technology, 2005. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/98bf8bfb44d67d86c1257099003e2fc1?OpenDocument.
Full textHolm, Rasmus. "Energy-Efficient Mobile Communication with Cached Signal Maps." Thesis, Linköpings universitet, Programvara och system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124607.
Full textSonbas, Buket. "Signal Processing for Sensor Based Navigation of Mobile Robot." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14230.
Full textPrihodko, Nikolajs. "Machine Learning for Forecasting Signal Strength in Mobile Networks." Thesis, Linköpings universitet, Statistik och maskininlärning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154466.
Full textChitraranjan, Charith Devinda. "Tracking Vehicles from Mobile Phone Received Signal Strength Sequences." Diss., North Dakota State University, 2015. http://hdl.handle.net/10365/25527.
Full textMehta, Mehul. "Power control for a mobile satellite system." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245306.
Full textNordio, Alessandro. "Advanced signal processing algorithms for 3rd generation wireless mobile systems /." [S.l.] : [s.n.], 2002. http://library.epfl.ch/theses/?nr=2550.
Full textWong, Hak Lim. "Signal strength-based location estimation in two different mobile networks." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/700.
Full textBooks on the topic "Mobile signal"
Murray-Smith, Roderick, ed. Mobile Social Signal Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8.
Full textGorban, I. I. Mobile sonar systems: Optimization of space-time signal processing. Kiev: Naukova dumka, 2008.
Find full textActive sensors for local planning in mobile robotics. River Edge, NJ: World Scientific, 2001.
Find full textCasey, Donal. Channel estimation techniques for mobile communications. Dublin: University College Dublin, 1995.
Find full textK, Kokula Krishna Hari, ed. Method to Provide Mobile Signal when the Network Provider Has Failed. Chennai, India: Association of Scientists, Developers and Faculties, 2016.
Find full textHanhart, Daniel. Mobile computing und RFID im facility management: Anwendungen, Nutzen und serviceorientierter Architekturvorschlag. Berlin: Springer, 2008.
Find full textSDMA for multipath wireless channels: Limiting characteristics and stochastic models. Berlin: Springer·, 2003.
Find full textJans, David A. The mobile receptor hypothesis: The role of membrane receptor lateral movement in signal transduction. Austin: R.G. Landes, 1997.
Find full textVaughan, Rodney. Channels, Propagation and Antennas for Mobile Communications. Stevenage: IET, 2003.
Find full textSouthampton, England) IEE/EURASIP Conference on DSPenabledRadio (2nd 2005. The 2nd IEE/EURASIP Conference on DSPenabledRadio: 19-20 September 2005, University of Southampton, Southampton : organised by the IEE Signal Processing Professional Network and EURASIP ; co-organisers, EURASIP. London: Institution of Electrical Engineers, 2005.
Find full textBook chapters on the topic "Mobile signal"
Parsons, J. D., and J. G. Gardiner. "Propagation and signal strength prediction." In Mobile Communication Systems, 68–100. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1526-1_3.
Full textCrossan, Andrew, Grégoire Lefebvre, Sophie Zijp-Rouzier, and Roderick Murray-Smith. "A Multimodal Contact List to Enhance Remote Communication." In Mobile Social Signal Processing, 84–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_9.
Full textVinciarelli, Alessandro. "Mobile Phones and Social Signal Processing for Analysis and Understanding of Dyadic Conversations." In Mobile Social Signal Processing, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_1.
Full textFavre, Sarah. "Turns Analysis for Automatic Role Recognition." In Mobile Social Signal Processing, 9–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_2.
Full textValente, Fabio, and Alessandro Vinciarelli. "Speaker Diarization of Multi-party Conversations Using Participants Role Information: Political Debates and Professional Meetings." In Mobile Social Signal Processing, 22–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_3.
Full textRenaud, Karen, and Heather Crawford. "Invisible, Passive, Continuous and Multimodal Authentication." In Mobile Social Signal Processing, 34–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_4.
Full textHarper, Richard H. R. "The Metaphysics of Communications Overload." In Mobile Social Signal Processing, 42–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_5.
Full textWilliamson, Julie R., and Stephen Brewster. "Capturing Performative Actions for Interaction and Social Awareness." In Mobile Social Signal Processing, 51–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_6.
Full textTrendafilov, Dari, Saija Lemmelä, and Roderick Murray-Smith. "Negotiation Models for Mobile Tactile Interaction." In Mobile Social Signal Processing, 64–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_7.
Full textTünnermann, René, Christian Leichsenring, and Thomas Hermann. "Direct Tactile Coupling of Mobile Phones with the feelabuzz System." In Mobile Social Signal Processing, 74–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_8.
Full textConference papers on the topic "Mobile signal"
Vinciarelli, Alessandro, Roderick Murray-Smith, and Hervé Bourlard. "Mobile social signal processing." In the 12th international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1851600.1851731.
Full textSpringer, D. B., T. Brennan, L. J. Zuhlke, H. Y. Abdelrahman, N. Ntusi, G. D. Clifford, B. M. Mayosi, and L. Tarassenko. "Signal quality classification of mobile phone-recorded phonocardiogram signals." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6853814.
Full textChin, Wen-Long, and Ming-Ju Lu. "Signal Detection for Mobile Devices." In 2019 7th International Conference on Information and Communication Technology (ICoICT). IEEE, 2019. http://dx.doi.org/10.1109/icoict.2019.8835236.
Full textMisic, Bojan, and Milan Bjelica. "Signal strength visualization in mobile networks." In 2013 21st Telecommunications Forum Telfor (TELFOR). IEEE, 2013. http://dx.doi.org/10.1109/telfor.2013.6716394.
Full textIkekawa, M., M. Hori, K. Nadehara, T. Kumura, M. Yoshida, I. Kuroda, and T. Nishitani. "Multimedia signal processor for mobile applications." In IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. IEEE, 2001. http://dx.doi.org/10.1109/icme.2001.1237695.
Full textKuhlman, Michael J., Tsung-Hsueh Lee, and Pamela A. Abshire. "Mixed-signal odometry for mobile robotics." In SPIE Defense, Security, and Sensing, edited by Thomas George, M. Saif Islam, and Achyut K. Dutta. SPIE, 2013. http://dx.doi.org/10.1117/12.2016373.
Full textZhu, Huijie, Wei Xu, Yalou Sang, Zhiqiang Yao, Limei Liu, and Moses C. Okonkw. "Mobile Communication Signal Selection Algorithm for Signal of Opportunity Navigation." In 2021 23rd International Conference on Advanced Communication Technology (ICACT). IEEE, 2021. http://dx.doi.org/10.23919/icact51234.2021.9370940.
Full textZhu, Huijie, Wei Xu, Yalou Sang, Zhiqiang Yao, Limei Liu, and Moses C. Okonkw. "Mobile Communication Signal Selection Algorithm for Signal of Opportunity Navigation." In 2022 24th International Conference on Advanced Communication Technology (ICACT). IEEE, 2022. http://dx.doi.org/10.23919/icact53585.2022.9728807.
Full textGappmair, Wilfried, Markus Flohberger, and Otto Koudelka. "Moment-Based Estimation of the Signal-to-Noise Ratio for Oversampled Narrowband Signals." In 2007 16th IST Mobile and Wireless Communications Summit. IEEE, 2007. http://dx.doi.org/10.1109/istmwc.2007.4299066.
Full textXiong, Yingen, and Kari Pulli. "Sequential image stitching for mobile panoramas." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397590.
Full textReports on the topic "Mobile signal"
Fisher, William, Paul Grassi, William C. Barker, Spike E. Dog, Santos Jha, William Kim, Taylor McCorkill, Joseph Portner, Mark Russell, and Sudhi Umarji. Mobile Application Single Sign-On: Improving Authentication for Public Safety First Responders. National Institute of Standards and Technology, August 2021. http://dx.doi.org/10.6028/nist.sp.1800-13.
Full textJury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568772.bard.
Full textAlchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.
Full textCoyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022008.
Full textSakhare, Rahul Suryakant, Jairaj Desai, Jijo K. Mathew, Woosung Kim, Justin Mahlberg, Howell Li, and Darcy M. Bullock. Evaluating the Impact of Vehicle Digital Communication Alerts on Vehicles. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317324.
Full textMoran, Nava, Richard Crain, and Wolf-Dieter Reiter. Regulation by Light of Plant Potassium Uptake through K Channels: Biochemical, Physiological and Biophysical Study. United States Department of Agriculture, September 1995. http://dx.doi.org/10.32747/1995.7571356.bard.
Full textLindow, Steven, Isaac Barash, and Shulamit Manulis. Relationship of Genes Conferring Epiphytic Fitness and Internal Multiplication in Plants in Erwinia herbicola. United States Department of Agriculture, July 2000. http://dx.doi.org/10.32747/2000.7573065.bard.
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