In the framework of multi-criteria decision making whose aggregation process is based on the Choquet integral, we present a maximum entropy like method enabling to determine, if it exists, the “least specific” capacity compatible with the initial preferences of the decision maker. The proposed approach consists in solving a strictly convex quadratic program whose objective function is equivalen...

Using noninvasive neuroimaging, researchers have shown that young children have bilateral and diffuse language networks, which become increasingly left lateralized and focal with development. Connectivity within the distributed pediatric language network has been minimally studied, and conventional neuroimaging approaches do not distinguish task-related signal changes from those that are task e...

Variance-based thresholding methods could be biased from the threshold found by expert and the underlying mechanism responsible for this bias is explored in this paper. An analysis on the minimum class variance thresholding (MCVT) and the Otsu method, which minimizes the within-class variance, is carried out. It turns out that the bias for the Otsu method is due to differences in class variance...

• Temporal correlation between the desired and interfering signals is considered. Relaxed zero-forcing (RZF) beamformer uses an ellipsoidal constraint. Ellipsoidal constraint bounds interference leakage at output of beamformer. Analytic expression MSE RZF presented for two-user case. Efficacy brain activity reconstruction with EEG shown by simulations. The relaxed a quadratically-and-linearly c...

An analog minimum-variance unbiased estimator (MVUE) over an asymmetric wireless sensor network is studied. Minimisation of variance is cast into a constrained non-convex optimisation problem. An explicit algorithm that solves the problem is provided. The solution is obtained by decomposing the original problem into a finite number of convex optimisation problems with explicit solutions. These ...

In this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Volterra filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approa...

For any given central moving-average trend filter, a family of end filters is constructed using a minimum revisions criterion and a local dynamic model operating within the span of the central filter. These end filters are equivalent to evaluating the central filter with unknown observations replaced by constrained optimal linear predictors. Two prediction methods are considered. Best Linear Un...

In this paper, the moving horizon recursive state estimator for linear singular systems is derived from the minimum variance estimation problem. The proposed estimate of the state using the measured outputs samples on the recent finite time horizon is unbiased and independent of any a priori information of the state on the horizon. The convergence and stability of the filter are evoked. A numer...