Maximum likelihood soft-output detection through Sphere Decoding combined with box optimization

This is the author’s version of a work that was accepted for publication in Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Signal Processing 125 (2016) 249–260. DOI 10.1016/j.sigpro.2016.02.006.This paper focuses on the improvement of known algorithms for maximum likelihood soft-output detection. These algorithms usually have large computational complexity, that can be reduced by using clipping. Taking two well-known soft-output maximum likelihood algorithms (Repeated Tree Search and Single Tree Search) as a starting point, a number of modifications (based mainly on box optimization techniques) are proposed to improve the efficiency of the search. As a result, two new algorithms are proposed for soft-output maximum likelihood detection. One of them is based on Repeated Tree Search (which can be applied with and without clipping). The other one is based on Single Tree Search, which can only be applied to the case with clipping. The proposed algorithms are compared with the Single Tree Search algorithm, and their efficiency is evaluated in standard detection problems (4 4 16-QAM and 4 4 64-QAM) with and without clipping. The results show that the efficiency of the proposed algorithms is similar to that of the Single Tree Search algorithm in the case 4 4 16-QAM; however, in the case 4 4 64- QAM, the new algorithms are far more efficient than the Single Tree Search algorithm. & 2016 Elsevier B.V. All rights reserved.This work has been partially funded by Generalitat Valenciana through the projects ISIC/2012/006 and PROMETEO II/2014/003, and by Ministerio Espanol de Economia y Competitividad through the project TEC2012-38142-C04 and through the Grant RACHEL TEC2013-47141-C4-4-R.García Mollá, VM.; Simarro Haro, MDLA.; Martínez Zaldívar, FJ.; González Salvador, A.; Vidal Maciá, AM. (2016). Maximum likelihood soft-output detection through Sphere Decoding combined with box optimization. Signal Processing. 125:249-260. https://doi.org/10.1016/j.sigpro.2016.02.006S24926012

Development and collapse of karstic cavities in folded marbles: Geomorphological and geophysical evidences in Nerja Cave (southern Spain)

Karstic evolution leads to the growth and collapse of cavities by the interaction between geological structures and the hydrogeological framework. Nerja Cave developed within marbles belonging to the Alpujarride complex of the Internal Zones in the Betic Cordillera of Spain. The residual gravity anomaly map of the karstified areas –surrounding the known Nerja Cave– may indicate a likely elongated parallel cave system, N-S oriented, unknown up to present, and formed by both small shallow and large deep caves below a nearby hill located north-westwards to the known cave. At the east hillside, a moderate gravity anomaly minimum and geomorphological evidence (vertical walls and sunken terrains) suggest the presence of an old collapsed cave. At the west hillside, a marked gravity minimum is associated with a strongly folded marble layer without evidence of collapse. An electrical resistivity tomography (ERT) profile across the hill –in the E-W direction– supports an interpretation of several voids, two of the bigger ones located on either side of the hill. The combination of geomorphological, ERT and gravity forward modelling indicate the location of unknown caves, one of them partially collapsed. These caves, located at a higher topographic level than the known Nerja Cave, may represent an early stage of cave development, and suggest the preferred dissolution of some layers in the folded marbles. This field example provides new insights on the interaction of structure in the karstic evolution that determines the cavity stability.info:eu-repo/semantics/publishedVersio

Cultural effects on neurodevelopmental testing in children from six European countries: an analysis of NUTRIMENTHE Global Database

Cultural background is an important variable influencing neuropsychological performance. Multinational projects usually involve gat