Planar microphone arrays are of common use in acoustic source identification methods, as well the planar calculation grids. Indeed, assumption is that grid contains all sources interest. However, this may not be true several applications and hence return misleading results. One tentative to overcome issue consider three-dimensional surface adhering on target. Unfortunately, also choice enough o...

Models are considered in which the underlying rate at which events occur can be represented by a regression function that describes the relation between the predictor variables and the unknown parameters. Estimates of the parameters can be obtained by means of iteratively reweighted least squares (IRLS). When the events of interest follow the Poisson distribution, the IRLS algorithm is equivale...

Aiming to resolve azimuth-dense targets in interference environments, the radar needs have ability of single snap echo angular super-resolution with anti-interference. To solve problem, algorithm based on while anti-interference blocking matrix method is studied for active phased array (APAR) this paper. Since conventional MUSIC and iterative adaptive (IAA) are limited echo, re-weighted least s...

There is growing interest in quantitatively analyzing in vivo image data, as this facilitates objective comparisons and measurement of effect. In this regard, people increasingly turn to pharmacokinetic models and estimation of parameters of such models. In this work several parameter estimation methodologies were compared within the context of the most common pharmacokinetic model used in posi...

Over the past a few decades, much attention has been drawn to large-scale incremental data analysis, where researchers are faced with huge amount of high-dimensional data acquired incrementally. In such a case, conventional algorithms that compute the result from scratch whenever a new sample comes are highly inefficient. To conquer this problem, we propose a new incremental algorithm IRLS that...

BACKGROUND AND PURPOSE We evaluated cerebral white and gray matter changes in patients with iRLS in order to shed light on the pathophysiology of this disease. METHODS Twelve patients with iRLS were compared to 12 age- and sex-matched controls using whole-head diffusion tensor imaging (DTI) and voxel-based morphometry (VBM) techniques. Evaluation of the DTI scans included the voxelwise analys...

The Radon transform suffers from the typical problems of loss of resolution and aliasing that arise as a consequence of incomplete information, such as limited aperture and discretization. Sparseness in Radon domain, which is equivalent to assuming smooth amplitude variation in the transition between known and unknown (missing) data, is a valid and useful prior information (Trad et al., 2003). ...

The problem of minimizing the rank of a matrix subject to affine constraints has many applications in machine learning, and is known to be NP-hard. One of the tractable relaxations proposed for this problem is nuclear norm (or trace norm) minimization of the matrix, which is guaranteed to find the minimum rank matrix under suitable assumptions. In this paper, we propose a family of Iterative Re...

PURPOSE We performed a meta-analysis of randomized placebo-controlled trials of nonergot dopamine agonists (NEDAs) for the treatment of restless legs syndrome. METHODS A systematic literature search was conducted through July 2007. The primary outcome measures assessed were the percentage of responders to medication as determined by the Clinical Global Impression-Improvement (CGI-I) scale and...

This structured clinical observation includes 28 patients with severe RLS, severe augmentation, and previously frustrating changes of dopaminergic treatment. All were switched from their current dopaminergic regimen to an individually adjusted rotigotine monotherapy; dosages were kept stable for 12 months. Follow-up exams were performed after 1, 3, 6, and 12 months. Severity of RLS symptoms (IR...