We present a dynamical Bayesian method to estimate source currents from MEG data. We assume that the sources can be modeled by a small set of current dipoles whose number, position, orientation, and amplitude may vary over time. A particle filter tracks the probability densities of these parameters by a two-step procedure comprising a filtering step in which the particles best fitting the data ...

The basic idea of KLD-sampling [3] is to find the number of particles in each iteration such that the error between the true posterior probability density and the probability density approximated by the particle filter is less than ν with probability (1−δ ). At any particular iteration, suppose we draw n particles from a discrete probability distribution that has k disparate bins. Defining the ...

Probabilistic data structures are so popular in membership queries, network applications, and so on. Bloom Filter and Cuckoo Filter are two popular space efficient models that incorporate in set membership checking part of many important protocols. They are compact representation of data that use hash functions to randomize a set of items. Being able to store more elements while keeping a reaso...

With the increased resolution capability of modern sensors, an object should be considered as extended if target extent is larger than sensor resolution. Multiple maneuvering tracking (MMEOT) uses not only measurements centroid but also high-resolution which may resolve individual features or measurement sources. MMEOT aims to jointly estimate number, states, and extension states. However, unkn...

We propose a new framework that extends the standard Probability Hypothesis Density (PHD) filter for multiple targets having N different types where N ≥ 2 based on Random Finite Set (RFS) theory, taking into account not only background false positives (clutter), but also confusions among detections of different target types, which are in general different in character from background clutter. U...

Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classification. We propose to filter this noise with a multiresolution analysis of the image. The wavelet ...

In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states. Recently, several multi-target tracking approaches, based on the sequential Monte Carlo probability hypothesis density (SMC-PHD) filter, have been presented to solve such a problem. However, most of these approaches...

A variety of posttranscriptional mechanisms affects the processing, subcellular localization, and translation of messenger RNAs (mRNAs). Translational control appears to occur primarily at the initiation rather than the elongation stage. It has been suggested that translation is mediated largely by means of a cap-binding/scanning mechanism. On the basis of recent findings, we propose here that ...