In this paper we propose a simple multistep regression smoother which is constructed in a boosting fashion, by learning the Nadaraya–Watson estimator with L2Boosting. Differently from the usual approach, we do not focus on L2Boosting for ever. Given a kernel smoother as a learner, we explore the boosting capability to build estimators using a finite number of boosting iterations. This approach ...

In this paper, a Delay Tolerant Network environment is considered where the source is in full control of the two-hop spreading mechanism by setting key parameters such as the number of copies allowed to be spread in the network and the delay bound of the messages. The introduced analysis allows for a differentiation between the source of the message and the intermediate nodes (in terms of e.g. ...

As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF) of the pixel gray levels within an image. ACG deals well with most dimmed images, but fails for globally bright images and the dimmed images with local bright regions. Such two categories of brightness-distorted ima...

The performance of broadcasting networks employing Fountain codes with receiver diversity techniques is investigated in the present work. Particularly, we derive closed-form expressions cumulative distribution function (CDF), probability mass (PMF), and raw moments number needed time slots to deliver a common message all users under two schemes, namely, maximal ratio combining (MRC) selection (...

Shadow mapping is widely used in computer graphics for efficiently rendering shadows in real-time applications. Shadow maps cannot be filtered as regular textures, thus their limited resolution can cause severe shadow map discretization artifacts in the rendered images. To solve this problem, several techniques have been proposed, including variance shadow maps (VSM) and exponential shadow maps...

This paper investigates a natural generalization of the κ-μ fading channel in which the line-of-sight (LOS) component is subject to shadowing. This fading distribution has a clear physical interpretation, good analytical properties and unifies the one-side Gaussian, Rayleigh, Nakagami-m, Ricean, κ-μ and Ricean shadowed fading distributions. The three basic statistical characterizations, i.e. pr...

This work presents exact tracking analysis of the ε-normalized least mean square (ε-NLMS) algorithm for circular complex correlated Gaussian input. The analysis is based on the derivation of a closed form expression for the cumulative distribution function (CDF) of random variables of the form [||ui||2D1 ][ε+ ||ui|| 2 D2 ] −1. The CDF is then used to derive the first and second moments of these...

Submit Manuscript | http://medcraveonline.com techniques for building meaningful models. More recently, seve­ ral methods of introducing one or more parameters to generate new distributions have been proposed. Among these methods, the compounding of some discrete and important lifetime distributions has been in the vanguard of lifetime modeling. So, several families of distributions were invest...

Submit Manuscript | http://medcraveonline.com techniques for building meaningful models. More recently, seve­ ral methods of introducing one or more parameters to generate new distributions have been proposed. Among these methods, the compounding of some discrete and important lifetime distributions has been in the vanguard of lifetime modeling. So, several families of distributions were invest...

In the present study an effort has been made to find out the best fitting distribution of wind speed data recorded in Islamabad on a daily basis for the years 2001 to 2003. For this purpose two parameter Gamma, Weibull, Lognormal, Rayleigh, three parameter Burr and Frechet distributions are fitted to data and parameters for each distribution are estimated using the Maximum Likelihood (ML) metho...