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New applications of localization are continuously emerging, which motivates further exploration and attracts many researchers from different research areas, such as geophysics, signal processing, aerospace engineering, and computer science.
As in this case, most applications of localization microscopy have focused on crosslinked molecular structures ex vivo, fixed cells, or slow processes in live cells due to the requirement to record several thousand frames of blinking molecules to reconstruct a single image.
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A similar result has been observed in [51], wherein a UKF has outperformed a SPF for the particular application of localization.
With increasing applications of wireless localization, accuracy of location estimation requirements has become more critical.
There is a proliferating demand for both commercial and governmental applications of wireless localization services that ascertain the position of a (mobile user) MU in an indoor environment [1].
In large-scale environments, this is a tedious and time consuming task, which impinges in a negative way on the future development of real world applications of the localization techniques proposed here.
Experiments are conducted for the application of WiFi localization where the location of a particular device is being predicted.
Our architecture demonstrates a potential practical application of sound localization for robots, and can be used to test paradigms for sound localization in the mammalian brain.
The proof of Theorem 4.2 is yet another interesting application of the localization estimate (3.2).
Based on the real application of beacon localization for rescue operations, an abstraction of the task was developed which simulates the basic concepts involved, i.e. the estimation of local maxima during the exploration of a 1D data topography.
Future applications of such a localization service include remote keyless entry and ignition systems, advanced child passenger safety, and beamsteering for in-vehicle high-speed Internet access.
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