Robust beamforming for interference rejection in mobile communications

The problem of robust beamformer design in the presence of moving sources is considered. A new technique based on a generalization of the constrained minimum variance beamformer is proposed. The method explicitly takes into account changes in the scenario due to the movement of the desired and interfering sources, requiring only estimation of the desired DOA. Computer simulations show that the resulting performance constitutes a compromise between interference and noise rejection, computational complexity, and sensitivity to source movement.Peer ReviewedPostprint (published version

Insônia: intervenção comportamental e cognitive

Esta revisão trata do diagnóstico e tratamento não-farmacológico da insônia. Na primeira parte, são apresentados critérios para a definição de insônia e um roteiro clínico para a investigação das suas várias causas (físicas, relacionadas a drogas, mentais e comportamentais). Na segunda parte, são discutidas diferentes técnicas de relaxamentos e um programa detalhado de controle de estímulos aplicados à terapêutica da insônia.This review deals with diagnosis and non-pharmacological treatment of insomnia. In the first part, criteria for definition of insomnia and a clinical guide to search among several causes (physical, drug-related, mental and behavioural) of insomnia are provided. In the second, part, different relaxation techinques and a detailed stimulus control program are discussed for the treatment of insomnia

Assignació de recursos en Diplotaxis erucoides (L.) DC

Seeds of Diplotaxis erucoides collected un the fields of the ETSEA of Lleida in spring of 1989 were sown in pots in Mars of 1990 after their conservation at lab temperature and humidity. To estimate the biomass: allocation between different organs during the plant life and to know the reproductive effort at the end of this one, we have regularly determined the dry weight of the following plant parts: a) roots, b) stems and leaves, c) flowers, and d) fruits of 20 plants in each analysis. With the results obtnined we can confirm the following observations: a) a high and positive correlation between the biomass of different parts, b) the biornass destined to reproduction represents a 33% of the total plant biomass, c) there is an increase of the reproductive effort with the size of the plant, d) the correlation caefficient between the number of flowers and the vegetative biomass is better than those observed beetween the reproductive and vegetative biomass, and e) there is a decrease of the vegetative growth and radicular system in the last stages of the plant cycle.Les llavors de Diplotaxis erucoides recollides en el camp de practiques de I'ETSEA Lleida durant la primavera de 1989 foren sembrades en testos al març de 1990 després de ser conservades en sec en condicions d'humitat i temperatura de laboratori. Per tal d'avaluar l'assignació de biomassa entre diferents compartiments al llarg del cicle de la planta i determinar l'esforç reproductiu al final del mateix es determina periòdicament mitjançant quatre anàlisis el pes sec dels diferents compartiments considerats -arrels, tiges i fulles, flors i fruits- d'un grup de vint plantes per anàlisi. Els resultats obtinguts ens permeten confirmar les observacions següents: a) existència de correlacions positives i elevades entre la biomassa dels diferents compartiments, b) la biomassa destinada a la reproducció representa un 33% de la biomassa total de la planta, c) es produeix un augment de l'esforç reproductiu amb la mida de la planta, d) el coeficient de correlació entre el nombre de flors i la biomassa vegetativa és sensiblement més alt que entre la biomassa reproductiva i la biomassa vegetativa i e) l'existència d'una disminució del creixement vegetatiu i del sistema radicular en les etapes finals del cicle de la planta.Las sernillas de Diplotaxis erucoides recogidas en el campo de prácticas de la ETSEA Lleida durante la primavera de 1989, fueron sembradas en macetas en el mes de marzo de 1990 previa conservación en seco en condiciones de humedad y temperatura de laboratono. Para evaluar la asignación de biomasa entre distintos com-partimentos durante el ciclo de la planta y determinar el esfuerzo reproductivo al final del misrno, se determinó periódicamente mediante cuatro análisis el peso seco de los distintos compartimentos considerados -raices, tallos y hojas, flores y frutos- de una muestra de veinte plantas por análisis. Los resultados obtenidos nos pemiten confirmar las observaciones siguientes: a) la existencia de correlaciones positivas y elevadas entre la biomasa de los diferentes compartimentos,b) la biomasa destinada a la reproducción representa un 33% del total de la biomasa de la planta, c) se produce un incremento positivo del esfuerzo reproductivo con el peso de la planta, d) el coeficiente de correlación entre el número de flores y la biomasa vegetativa es sensiblemente más alto que el de la biomasa reproductiva con la biomasa vegetativa y e) la existencia de una disminución en el ritmo de crecimiento vegetativo y del sistema radicular en las etapas finales del ciclo de la planta

Pyramidal Stochastic Graphlet Embedding for Document Pattern Classification

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordDocument pattern classification methods using graphs have received a lot of attention because of its robust representation paradigm and rich theoretical background. However, the way of preserving and the process for delineating documents with graphs introduce noise in the rendition of underlying data, which creates instability in the graph representation. To deal with such unreliability in representation, in this paper, we propose Pyramidal Stochastic Graphlet Embedding (PSGE). Given a graph representing a document pattern, our method first computes a graph pyramid by successively reducing the base graph. Once the graph pyramid is computed, we apply Stochastic Graphlet Embedding (SGE) for each level of the pyramid and combine their embedded representation to obtain a global delineation of the original graph. The consideration of pyramid of graphs rather than just a base graph extends the representational power of the graph embedding, which reduces the instability caused due to noise and distortion. When plugged with support vector machine, our proposed PSGE has outperformed the state-of-The-art results in recognition of handwritten words as well as graphical symbols.European Union Horizon 2020Ministerio de Educación, Cultura y Deporte, SpainRamon y Cajal FellowshipCERCA Program/Generalitat de Cataluny

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

This is the final version. Available on open access from Springer via the DOI in this recordDespite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable with many machine learning tools. This is because of the incompatibility of most of the mathematical operations in graph domain. Graph embedding has been proposed as a way to tackle these difficulties, which maps graphs to a vector space and makes the standard machine learning techniques applicable for them. However, it is well known that graph embedding techniques usually suffer from the loss of structural information. In this paper, given a graph, we consider its hierarchical structure for mapping it into a vector space. The hierarchical structure is constructed by topologically clustering the graph nodes, and considering each cluster as a node in the upper hierarchical level. Once this hierarchical structure of graph is constructed, we consider its various configurations of its parts, and use stochastic graphlet embedding (SGE) for mapping them into vector space. Broadly speaking, SGE produces a distribution of uniformly sampled low to high order graphlets as a way to embed graphs into the vector space. In what follows, the coarse-to-fine structure of a graph hierarchy and the statistics fetched through the distribution of low to high order stochastic graphlets complements each other and include important structural information with varied contexts. Altogether, these two techniques substantially cope with the usual information loss involved in graph embedding techniques, and it is not a surprise that we obtain more robust vector space embedding of graphs. This fact has been corroborated through a detailed experimental evaluation on various benchmark graph datasets, where we outperform the state-of-the-art methods.European Union Horizon 2020Ministerio de Educación, Cultura y Deporte, SpainGeneralitat de Cataluny

Graph-Based Deep Learning for Graphics Classification

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordGraph-based representations are a common way to deal with graphics recognition problems. However, previous works were mainly focused on developing learning-free techniques. The success of deep learning frameworks have proved that learning is a powerful tool to solve many problems, however it is not straightforward to extend these methodologies to non euclidean data such as graphs. On the other hand, graphs are a good representational structure for graphical entities. In this work, we present some deep learning techniques that have been proposed in the literature for graph-based representations and we show how they can be used in graphics recognition problems.European Union Horizon 2020FPUMinisterio de Educación, Cultura y Deporte, SpainRamon y Cajal FellowshipCERCA Program/Generalitat de Cataluny

Improving Information Retrieval in Multiwriter Scenario by Exploiting the Similarity Graph of Document Terms

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordInformation Retrieval (IR) is the activity of obtaining information resources relevant to a questioned information. It usually retrieves a set of objects ranked according to the relevancy to the needed fact. In document analysis, information retrieval receives a lot of attention in terms of symbol and word spotting. However, through decades the community mostly focused either on printed or on single writer scenario, where the state-of-The-art results have achieved reasonable performance on the available datasets. Nevertheless, the existing algorithms do not perform accordingly on multiwriter scenario. A graph representing relations between a set of objects is a structure where each node delineates an individual element and the similarity between them is represented as a weight on the connecting edge. In this paper, we explore different analytics of graphs constructed from words or graphical symbols, such as diffusion, shortest path, etc. to improve the performance of information retrieval methods in multiwriter scenario.European Union Horizon 2020Ministerio de Educación, Cultura y Deporte, SpainFPUCERCA Programme/Generalitat de Cataluny

Nota sobre la presencia de terrenos de edad carbonífera en la parte oriental del macizo de Montalbán

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Evidence for Structural Variants of a- and b-Type Peptide Fragment Ions Using Combined Ion Mobility/Mass Spectrometry

Tandem mass spectrometry (MS/MS) of peptides plays a key role in the field of proteomics, and an understanding of the fragmentation mechanisms involved is vital for data interpretation. Not all the fragment ions observed by low-energy collision-induced dissociation of protonated peptides are readily explained by the generally accepted structures for a- and b-ions. The possibility of a macrocyclic structure for b-type ions has been recently proposed. In this study, we have undertaken investigations of linear protonated YAGFL-NH2, N-acetylated-YAGFL-NH2, and cyclo-(YAGFL) peptides and their fragments using a combination of ion mobility (IM) separation and mass spectrometry. The use of IM in this work both gives insight into relative structural forms of the ion species and crucial separation of isobaric species. Our study provides compelling evidence for the formation of a stable macrocyclic structure for the b5 ion generated by fragmentation of protonated linear YAGFL-NH2. Additionally we demonstrate that the a4 ion fragment of protonated YAGFL-NH2 has at least two structures; one of which is attributable to a macrocyclic structure on the basis of its subsequent fragmentation. More generally, this work emphasizes the value of combined IM-MS/MS in probing the detailed fragmentation mechanisms of peptide ions, and illustrates the use of combined ion mobility/collisional activation/mass spectrometry analysis in achieving an effective enhancement of the resolution of the mobility separator