Results 31 to 40 of about 90,342 (256)

Performance investigation of LAMBDA and bootstrapping methods for PPP narrow-lane ambiguity resolution

Geo-spatial Information Science, 2021
Precise point positioning with ambiguity resolution (PPP-AR) is a powerful tool for geodetic and time-constrained applications that require high precision.
Omer Faruk Atiz, Sermet Ogutcu, Salih Alcay, Pan Li, Ilkay Bugdayci   +4 more
doaj   +1 more source

GNSS Precise Relative Positioning Using A Priori Relative Position in a GNSS Harsh Environment

Sensors, 2021
To enable Global Navigation Satellite System (GNSS)-based precise relative positioning, real-time kinematic (RTK) systems have been widely used.
Euiho Kim
doaj   +1 more source

Nonclassical correlations of phase noise and photon number in quantum nondemolition measurements [PDF]

, 1999
The continuous transition from a low resolution quantum nondemolition measurement of light field intensity to a precise measurement of photon number is described using a generalized measurement postulate.
A.E. Siegmann, D.T. Pegg, E. Schrödinger, E. Schrödinger, E. Schrödinger, Holger F. Hofmann, J. von Neumann, J.S. Bell, L. Susskind, M. Beller, M. Brune, M. Kitagawa, M.D. Levenson, M.J. Holland, N. Imoto, N.D. Mermin, S. Goldstein, S. Goldstein, S. Goldstein, S.R. Friberg, W. Heisenberg, Y. Yamamoto   +21 more
core   +4 more sources

Constrained MLAMBDA Method for Multi-GNSS Structural Health Monitoring

Sensors, 2019
Deformation monitoring of engineering structures using the advanced Global Navigation Satellite System (GNSS) has attracted research interest due to its high-precision, constant availability and global coverage. However, GNSS application requires precise
Haiyang Li, Guigen Nie, Dezhong Chen, Shuguang Wu, Kezhi Wang   +4 more
doaj   +1 more source

Accuracy Evaluation of Ionospheric Delay from Multi-Scale Reference Networks and Its Augmentation to PPP during Low Solar Activity

ISPRS International Journal of Geo-Information, 2021
The Precise Point Positioning (PPP) with fast integer ambiguity resolution (PPP-RTK) is feasible only if the solution is augmented with precise ionospheric parameters.
Lewen Zhao, Jan Douša, Pavel Václavovic   +2 more
doaj   +1 more source

A sign assignment in totally twisted Khovanov homology

, 2011
We lift the characteristic-2 totally twisted Khovanov homology of Roberts and Jaeger to a theory with integer coefficients. The result is a complex computing reduced odd Khovanov homology for knots.
Manion, Andrew
core   +1 more source

PDF Evaluation of the Integer Ambiguity Residuals [PDF]

, 2004
A parameter estimation theory is incomplete if no rigorous measures are available for validating the parameter solution. Since the classical theory of linear estimation does not apply to the integer GPS model, rigorous validation is not possible when use is made of the classical results.
S. Verhagen, P. J. G. Teunissen
openaire   +1 more source

Real Time Attitude Independent GPS Integer Ambiguity Resolution [PDF]

The Journal of the Astronautical Sciences, 2004
In this paper, a new motion-based approach for Global Positioning System (GPS) integer ambiguity resolution is derived. The approach first represents the GPS sightline vectors in the body frame or the baseline vectors in the reference frame. The solution to this problem is always available as long as at least three non-coplanar baseline or sightline ...
E. Glenn Lightsey, John L. Crassidis
openaire   +1 more source

Fractal Characterizations of MAX Statistical Distribution in Genetic Association Studies

, 2009
Two non-integer parameters are defined for MAX statistics, which are maxima of $d$ simpler test statistics. The first parameter, $d_{MAX}$, is the fractional number of tests, representing the equivalent numbers of independent tests in MAX.
Azzalini A., Heisenberg W., Mao J., Press W. H., Sham P., Sokal R. K., Thomas D. C., Weir B. S.   +7 more
core   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source