Results 71 to 80 of about 1,454,307 (196)

Generalizations of Kijowski's time-of-arrival distribution for interaction potentials

, 2001
Several proposals for a time-of-arrival distribution of ensembles of independent quantum particles subject to an external interaction potential are compared making use of the ``crossing state'' concept.
A. D. Baute, A. D. Baute, A. D. Baute, C. R. Leavens, E. P. Wigner, G. R. Allcock, I. L. Egusquiza, I. L. Egusquiza, I. L. Egusquiza, I. L. Egusquiza, J. A. Oppenheim, J. Finkelstein, J. G. Muga, J. G. Muga, J. G. Muga, J. G. Muga, J. G. Muga, J. G. Muga, J. J. Halliwell, J. Kijowski, J. Kijowski, J. León, M. Toller, P. Kochański, R. Werner, S. Brouard, V. Delgado, V. Delgado, W. Pauli, Y. Aharonov, Y. Aharonov   +30 more
core   +1 more source

A Search for Temporal Variations in Station Terms in Southern California from 1984 to 2002 [PDF]

, 2008
We use relative arrival times and locations for similar earthquake pairs that are found using a cross-correlation method to analyze the time dependence of P and S station terms in southern California from 1984 to 2002.
Hauksson, Egill, Lin, Guoqing, Shearer, Peter M.   +2 more
core   +1 more source

Space-time properties of free motion time-of-arrival eigenstates

, 1998
The properties of the time-of-arrival operator for free motion introduced by Aharonov and Bohm and of its self-adjoint variants are studied. The domains of applicability of the different approaches are clarified.
C. R. Leavens, G. R. Allcock, G. R. Allcock, G. R. Allcock, I. S. Gradsteyn, J. G. Muga, J. G. Muga, J. G. Muga, J. G. Muga, J. G. Muga, J. Kijowski, J. León, J. P. Palao, M. Razavi, N. Bleistein, N. Grot, N. I. Akhiezer, P. Busch, P. Busch, R. Giannitrapani, R. Sala, R. Sala, R. Sala, R. Werner, V. Delgado, V. Delgado, V. H. Paul, W. Pauli, Y. Aharonov, Y. Aharonov   +29 more
core   +1 more source

Two Stages of Arrival Aircraft: Influencing Factors and Prediction of Integrated Arrival Time

Aerospace
To enhance the accuracy and real-time capability of estimated in-block time (EIBT) predictions at airports, this study proposes a two-stage integrated prediction method.
Xiaowei Tang, Mengfan Ye, Jiaqi Wu, Shengrun Zhang   +3 more
doaj   +1 more source

Relativistic Time of Arrival

, 1999
We propose a covariant algorithm for relativistic ideal measurements and for relativistic continuous measurements, its non-relativistic limit results the algorithm of the Event-Enhanced Quantum Theory. Therefore an additional intrinsic parameter, the proper time, is used.
openaire   +2 more sources

Swapped Sectors Detection Based on User Location During Inter-Site Handovers

IEEE Access, 2019
Network roll-out is a process composed of several actions, which, if not completed correctly, may degrade the final system performance. A common error during the roll-out process is the case in which feeders from baseband units to radio units or feeders ...
Omar Kaddoura, Juan J. Sanchez-Sanchez, Inmaculada Serrano, Raquel Barco   +3 more
doaj   +1 more source

Geometrical statistical channel model with an Inverted-Parabolic spatial distribution

Tongxin xuebao, 2014
Due to the complexity of calculation for the parameters of angle of arrival(AOA),time of arrival(TOA) and Dopplerspectra(DS),etc.,a proper geometrical statistical channel model was proposed with inverted-parabolic spatial distribution around mobile ...
Jie ZHOU, Dong-dong XU, Kikuchi HISAKAZU
doaj  

Phase Difference of Arrival Aided Downlink Time Difference of Arrival Ultra-Wide Band Positioning System

IEEE Access
Currently there is a growing demand for accurate and reliable positioning indoors or in other environments, where Global Navigation Satellite Systems (GNSS) are unavailable.
Josef Krska, Christian Gentner, Vaclav Navratil   +2 more
doaj   +1 more source

Location errors in time of arrival (TOA) and time difference of arrival (TDOA) systems [PDF]

, 1977
It is shown that the covariance matrix of object location errors is identical for time of arrival (TOA) and time difference of arrival (TDOA) systems if the inverse of the covariance matrix of TOA (TDOA) errors is used as a weighting matrix. Also, with this weighting the location errors statistics do not depend on the particular difference pairs in the
openaire   +2 more sources

Root-MUSIC-based joint TOA and DOA estimation in IR-UWB

Tongxin xuebao, 2014
The parameters can be estimated via two-dimensional (2D) multiple signal classification (MUSIC) algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity.
Fang-qiu WANG, Xiao-fei ZHANG, Fei WANG
doaj   +2 more sources