The estimation of parametric global motion had a significant attention during the last two decades, but despite the great efforts invested, there are still open issues. The most important ones are related to the accuracy of the estimation and to the ability to recover large deformation between images. In this paper, a new generalized least squares-based motion estimator is proposed. The non-lin...

A logical next step for achieving a cost price reduction per Watt peak of photovoltaics (PV) is multijunction PV devices. In two-terminal devices, the photo-current generated in each subcell should be matched. Intermediate reflective layers (IRLs) are widely employed devices to increase reflection at interface between subcells enhance current generation subcell(s) positioned before IRL, referen...

BACKGROUND Restless legs syndrome (RLS) has been associated with insomnia, decreased quality of life, and increased morbidity and mortality in end-stage renal disease. This randomized controlled trial investigated effects of rotigotine in patients with RLS and end-stage renal disease. STUDY DESIGN Double-blind placebo-controlled study. SETTING & PARTICIPANTS Adults with moderate to severe R...

We propose a novel differentiable reformulation of the linearly-constrained $\ell_1$ minimization problem, also known as basis pursuit problem. The is inspired by Laplacian paradigm network theory and leads to new family gradient-based methods for solution problems. analyze iteration complexity natural approach reformulation, based on multiplicative weights update scheme, well an accelerated gr...

Consider the linear regression model y = X + u in the usual notation. In many applications the design matrix X is frequently subject to severe multicollinearity. In this paper an alternative estimation methodology, maximum entropy is given and used to estimate the parameters in a linear regression model when the basic data are ill-conditioned. We described the generalized maximum entropy (GME) ...

This paper introduces an iterative algorithm for designing IIR digital filters that minimize a complex approximation error in an sense. The algorithm combines ideas that have proven successful in the similar problem of FIR filter design. We use iterative prefiltering techniques common in applications such as parameter estimation together with an Iterative Reweighted Least Squares (IRLS) method....

BACKGROUND According to clinical guidelines, dopamine agonists are the first-line treatment of restless legs syndrome (RLS). OBJECTIVES To evaluate efficacy and safety of dopamine agonists for RLS. SEARCH STRATEGY We searched the Cochrane Central Register of Controlled Trials (The Cochrane Library 2008, Issue 4), MEDLINE, EMBASE, PsycINFO and CINAHL, from January 1985 to December 2008, plus...

Restless legs syndrome/Willis-Ekbom disease (RLS/WED) is a chronic neurosensory disorder that is characterized by a strong urge to move, accompanied by an uncomfortable paresthesia in the legs which affects about 5-15 percent of adult people in industrialized countries.1 RLS/WED is a puzzling disease, mostly because of the uncertainty of its etiology. There seems to be a genetic component, but ...

BACKGROUND Dopamine agonists (DAs) are a first-line therapy for moderate-to-severe restless legs syndrome (RLS), but these treatments may lead to complications, such as augmentation and impulse control disorders, requiring switching to another therapeutic class. Here we assess efficacy and tolerability of gabapentin enacarbil (GEn) in adults with moderate-to-severe primary RLS, with or without ...

This deals with the problem of recovering a high-resolution digital image from one low resolution digital image and proposes a super-resolution algorithm based on the mixed l0/l1 norm minimization. Introducing some assumptions and focusing the uniformity and the gradation of the image, this paper formulates the colorization problem as a mixed l0/l1 norm minimization and proposes the algorithm b...