Cramér-Rao Lower Bound for Point Based Image Registration With Heteroscedastic Error Model for Application in Single Molecule Microscopy. [PDF]
The Cramer-Rao lower bound for the estimation of the affine transformation parameters in a multivariate heteroscedastic errors-in-variables model is derived.
Cohen EA, Kim D, Ober RJ.
europepmc +2 more sources
Cramér–Rao Lower Bound for Magnetic Field Localization around Elementary Structures [PDF]
The determination of a mobile terminal’s position with high accuracy and ubiquitous coverage is still challenging. Global satellite navigation systems (GNSSs) provide sufficient accuracy in areas with a clear view to the sky. For GNSS-denied environments
Armin Dammann +2 more
doaj +2 more sources
Cramer–Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing [PDF]
Signals of opportunity (SoOp) reflectometry (SoOp-R) is a maturing field for geophysical remote sensing as evidenced by the growing number of airborne and spaceborne experiments.
Dylan Ray Boyd +7 more
doaj +2 more sources
Estimation of the Measurement Accuracy of Wireless Passive Resonance Sensors [PDF]
Resonators are passive devices that respond to an excitation signal by oscillating at their natural frequency with exponentially decreasing amplitudes. Physical, chemical and electrical variables can modify the natural frequencies of resonators.
Leonhard M. Reindl +5 more
doaj +2 more sources
Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering [PDF]
To address the issues of low accuracy and time-difference ambiguity in the localization and tracking of multiple satellites, we have conducted a thorough study of the localization algorithm and the ambiguity resolution algorithm for the time-difference ...
Yanli Zhang +5 more
doaj +2 more sources
Emitter Location Finding using Particle Swarm Optimization [PDF]
Using several spatially separated receivers, nowadays positioning techniques, which are implemented to determine the location of the transmitter, are often required for several important disciplines such as military, security, medical, and commercial ...
O. Cakir +4 more
doaj +2 more sources
The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the ...
Yumei Hu +5 more
doaj +1 more source
Cramér-Rao Lower Bound for Fuzzy-Valued Random Variables
In some point estimation problems, we may confront imprecise (fuzzy) concepts. One important case is a situation where all observations are fuzzy rather than crisp.
Hamzeh Torabi
doaj +1 more source
To quantify T2*, multiple echoes are typically acquired with a multi-echo gradient echo sequence using either monopolar or bipolar readout gradients. The use of bipolar readout gradients achieves a shorter echo spacing time, enabling the acquisition of a
Seonyeong Shin +2 more
doaj +1 more source
The hybrid Cramér-Rao lower bound for simultaneous self-localization and room geometry estimation
This paper addresses the problem of tracking a moving source, e.g., a robot, equipped with both receivers and a source, that is tracking its own location and simultaneously estimating the locations of multiple plane reflectors.
Maya Veisman, Yair Noam, Sharon Gannot
doaj +1 more source

