169 research outputs found
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
The configuration multi-edge model: Assessing the effect of fixing node strengths on weighted network magnitudes
Complex networks grow subject to structural constraints which affect their
measurable properties. Assessing the effect that such constraints impose on
their observables is thus a crucial aspect to be taken into account in their
analysis. To this end,we examine the effect of fixing the strength sequence in
multi-edge networks on several network observables such as degrees, disparity,
average neighbor properties and weight distribution using an ensemble approach.
We provide a general method to calculate any desired weighted network metric
and we show that several features detected in real data could be explained
solely by structural constraints. We thus justify the need of analytical null
models to be used as basis to assess the relevance of features found in real
data represented in weighted network form.Comment: 11 pages. 4 figure
Signal selective doa tracking for multiple moving targets
A new algorithm for signal selective tracking of the directions-of-arrival (DOAs) of multiple moving targets with an array of passive sensors is presented. A new method based on the principles of maximum likelihood estimation and cyclostationarity is used to generate initial angle estimates which, in turn, are refined by a Kalman filter. Source angle dynamics are used to achieve correct data association. High performance is obtained with relatively low computational complexity.Peer ReviewedPostprint (published version
Efectes de la data de plantació i l'aplicació d'à cid giberèl·lic en el creixement i floració de Chrysanthemum Morifolium ramat
Simultaneous cyclization and derivatization of peptides using cyclopentenediones
Unprotected linear peptides containing N-terminal cysteines and another cysteine residue can be simultaneously cyclized and derivatized using 2,2-disubstituted cyclopentenediones. High yields of cyclic peptide conjugates may be obtained in short reaction times using only a slight excess of the cyclopentenedione moiety under TEMPO catalysis and in the presence of LiCl
Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians.
Human mobility is becoming an accessible field of study, thanks to the progress and availability of tracking technologies as a common feature of smart phones. We describe an example of a scalable experiment exploiting these circumstances at a public, outdoor fair in Barcelona (Spain). Participants were tracked while wandering through an open space with activity stands attracting their attention. We develop a general modelling framework based on Langevin dynamics, which allows us to test the influence of two distinct types of ingredients on mobility: reactive or context-dependent factors, modelled by means of a force field generated by attraction points in a given spatial configuration and active or inherent factors, modelled from intrinsic movement patterns of the subjects. The additive and constructive framework model accounts for some observed features. Starting with the simplest model (purely random walkers) as a reference, we progressively introduce different ingredients such as persistence, memory and perceptual landscape, aiming to untangle active and reactive contributions and quantify their respective relevance. The proposed approach may help in anticipating the spatial distribution of citizens in alternative scenarios and in improving the design of public events based on a facts-based approach
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