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Livros sobre o tema "Estimation de l'horizon mobile"

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Autor: Grafiati

Publicado: 14 de setembro de 2024

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1

Casey, Donal. Channel estimation techniques for mobile communications. Dublin: University College Dublin, 1995.

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2

1936-, Aggarwal J. K., e United States. National Aeronautics and Space Administration., eds. Positional estimation techniques for an autonomous mobile robot: Final report. Austin, Tex: Computer and Vision Research Center, University of Texas at Austin, 1990.

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3

Iagnemma, Karl. Mobile robots in rough terrain: Estimation, motion planning, and control with application to planetary rovers. Berlin: Springer, 2010.

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4

Götz, Alexander. Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals. München: Oldenbourg Wissenschaftsverlag Verlag, 2013. http://dx.doi.org/10.1524/9783486748628.

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5

Haney, Timothy N. Generation of Global System for Mobile (GSM) signals and their Time Difference of Arrival (TDOA) estimation. Monterey, Calif: Naval Postgraduate School, 2000.

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6

Wilmot, Chester. Analysis of Louisiana vehicular input data for MOBILE 6. Baton Rouge, La: Louisiana Transportation Research Center, 2008.

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7

Luigi, Fortuna, Frasca Mattia, Rizzo Alessandro, Schenato Luca, Zampieri Sandro e SpringerLink (Online service), eds. Modelling, Estimation and Control of Networked Complex Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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8

Steinbrugge, Karl V. Dwelling and mobile home monetary losses due to the 1989 Loma Prieta, California, earthquake with an emphasis on loss estimation. Washington: U.S. G.P.O., 1994.

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9

M, Milanese, ed. Bounding approaches to system identification. New York: Plenum Press, 1996.

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10

Vestli, Sjur Jonas. Fast, accurate and robust estimation of mobile robot position and orientation: A dissertation submitted to the Swiss Federal Institute of Technology, Zurich, for the degree of Doctor of Technical Sciences. Zurich: Swiss Federal Institute of Technology, 1995.

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11

McGuire, Michael. Estimation of mobile terminal position in cellular networks. 2003.

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12

National Aeronautics and Space Administration (NASA) Staff. Positional Estimation Techniques for an Autonomous Mobile Robot. Independently Published, 2018.

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13

Chryssikakis, Andreas. Vehicle speed estimation in narrow-band radio mobile chanels. 1997.

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14

Kapoor, Samir. Estimation of motion parameters for single and multiple mobile objects. 1994.

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15

Li, Yabo. In-Phase and Quadrature Imbalance: Modeling, Estimation, and Compensation. Springer, 2013.

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16

Omri, Aymen. Channel Estimation for LTE MIMO-OFDM Systems: Estimation Techniques of Mobile Radio Channel selective in Time and in Frequency. LAP Lambert Academic Publishing, 2012.

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17

SPACE-TIME ARRAY COMMUNICATIONS: VECTOR CHANNEL ESTIMATION AND RECEPTION. LONDON: IMPERIAL COLLEGE PRESS, 2007.

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18

Götz, Alexander Gerald. Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals. de Gruyter GmbH, Walter, 2013.

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19

Götz, Alexander Gerald. Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals. de Gruyter GmbH, Walter, 2013.

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20

Sensor Fusion Based Position Estimation for Mobile Robots: From multi-sensor data to digital maps. LAP Lambert Academic Publishing, 2012.

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21

Giannakis, Georgios B., e Yingbo Hua. Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization. Prentice Hall PTR, 2000.

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22

Generation Of Global System for Mobile (GSM) Signals and their Time Difference of Arrival (TDOA) Estimation. Storming Media, 2000.

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23

Giannakis, Georgios B., e Yingbo Hua. Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization. Prentice Hall PTR, 2000.

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24

Iagnemma, K., e Steven Dubowsky. Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers (Springer Tracts in Advanced Robotics). Springer, 2004.

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25

Sanfeliu, Alberto, e Juan Andrade Cetto. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building. Springer, 2010.

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26

Netramai, Chayakorn. Using mobile multi-camera unit for real-time 3D motion estimation and map building of indoor environment. 2011.

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27

Environment learning for indoor mobile robots: A stochastic state estimation approach to simultaneous localization and map building. Berlin, Germany: Springer, 2006.

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28

Fortuna, Luigi, Alessandro Rizzo, Mattia Frasca, Alessandro Chiuso, Luca Schenato e Sandro Zampieri. Modelling, Estimation and Control of Networked Complex Systems. Springer, 2012.

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29

Andrade-Cetto, Juan, e Alberto Sanfeliu. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Springer Tracts in Advanced Robotics). Springer, 2006.

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30

Milanese, M. Bounding Approaches to System Identification. Springer, 2013.

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31

Piet-Lahanier, H., É. Walter, J. Norton e M. Milanese. Bounding Approaches to System Identification. Springer, 2013.

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