Sparse modeling for signal processing and machine learning, in general, has been at the
focus of scientific research for over two decades. Among others, supervised sparsity-aware …

Healthy humans control balance during stance by using an active feedback mechanism that
generates corrective torque based on a combination of movement and orientation cues from …

Destination-based forwarding in traditional IP routers has not been able to take full
advantage of multiple paths that frequently exist in Internet service provider networks. As a …

As an emerging digital servitization paradigm, smart product-service system (Smart PSS)
leverages smart, connected products and their generated services to work as a solution …

The analysis of multichannel recordings such as electroencephalography (EEG) and
magnetoencephalography (MEG) is important both for basic brain research and for medical …

In this paper, we address the problem of no-reference quality assessment for digital pictures
corrupted with blur. We start with the generation of a large real image database containing …

This paper addresses estimation of the equivalent number of looks (ENL), an important
parameter in statistical modeling of multilook synthetic aperture radar (SAR) images. Two …

Untitled Page 1 Page 2 Natural Computing Series Series Editors: G. Rozenberg Th.Bäck AEEiben
JNKok HPSpaink Leiden Center for Natural Computing AdvisoryBoard: S.Amari G.Brassard …

The statistical bootstrap is one of the methods that can be used to calculate estimates of a
certain number of unknown parameters of a random process or a signal observed in noise …

Provides the tools needed to control and remediate the quality of natural water systems Now
in its Second Edition, this acclaimed text sets forth core concepts and principles that govern …