The ill-posed nature of the MEG (or related EEG) source localization problem requires the incorporation of prior assumptions when choosing an appropriate solution out of an infinite set of candidates. Bayesian approaches are useful in this capacity because they allow these assumptions to be explicitly quantified using postulated prior distributions. However, the means by which these priors are ...

Ensemble based filtering or data assimilation methods have proved to be indispensable tools in atmosphere and ocean science as they allow computationally cheap, low dimensional ensemble state approximation for extremely high dimensional turbulent dynamical systems. For sparse, accurate and infrequent observations, which are typical in data assimilation of geophysical systems, ensemble filtering...

In Vehicular ad-hoc networks (VANETs), one of the challenging tasks is to find an accurate localization information. In this paper, we have addressed this problem by introducing a novel approach based on the idea of cooperative localization. Our proposed scheme incorporates different techniques of localization along with data fusion as well as vehicle-to-vehicle communication, to integrate the ...

This paper deals with the problem of mobile-robot localization in structured environments. The extended Kalman filter (EKF) is used to localize the fourwheeled mobile robot equipped with encoders for the wheels and a laser-rangefinder (LRF) sensor. The LRF is used to scan the environment, which is described with line segments. A prediction step is performed by simulating the kinematic model of ...

To overcome the physical barriers caused by light diffraction, super-resolution techniques are often applied in fluorescence microscopy. State-of-the-art approaches require specific and demanding acquisition conditions to achieve adequate levels of both spatial temporal resolution. Analyzing stochastic fluctuations fluorescent molecules provides a solution aforementioned limitations, as suffici...

we present a general theory of $ilii~ear/ quadratic signal representations t h a t a l e coiianant to timefrequency (TF) displacement operators resentations are developed in the CY,,^') dQmaiiB and iio the e e o ~ ~ u ~ a ~ e case, covariant representa,tions can also be formulated in an eigenfunction parameter domain ( ( a , b ) domain). The relations connecting the (0, p), TF, and (U, b) domai...

This paper develops a monocular vision-aided inertial navigation system based on the factored extended Kalman filter (EKF) proposed by Bierman and Thornton. The simultaneous localization and mapping (SLAM) algorithm measurement update and propagation steps are formulated in terms of the factored covariance matrix P = UDU, and a novel method for efficiently adding and removing features from the ...

Introduction Conclusions References

Data assimilation is the process of integrating observational data and model predictions to obtain an optimal representation of the state of the atmosphere. As more chemical observations in the troposphere are becoming available, chemical data assimilation is expected to play an essential role in air quality forecasting, similar to the role it has in numerical weather prediction. Considerable p...