Ara es mostren els items 1-10 de 10

  • A diffusion-based distributed EM algorithm for density estimation in wireless sensor networks 

    Silva Pereira, Silvana; López Valcarce, Roberto; Pagès Zamora, Alba Maria (Institute of Electrical and Electronics Engineers (IEEE), 2013)
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    We address the problem of distributed estimation of a parameter from a set of noisy observations collected by a sensor network, assuming that some sensors may be subject to data failures and report only noise. In such ...
  • A diffusion-based em algorithm for distributed estimation in unreliable sensor networks 

    Silva Pereira, Silvana; López Valcarce, Roberto; Pagès Zamora, Alba Maria (2013-01)
    Article
    Accés restringit per política de l'editorial
    We address the problem of distributed estimation of a parameter from a set of noisy observations collected by a sensor network, assuming that some sensors may be subject to data failures and report only noise. In such ...
  • Distributed AOA-based source positioning in NLOS with sensor networks 

    Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Silva Pereira, Silvana; López Valcarce, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    This paper focuses on the problem of positioning a source using angle-of-arrival measurements taken by a wireless sensor network in which some of the nodes experience non lineof-sight (LOS) propagation conditions. In ...
  • Distributed multivariate regression with unknown noise covariance in the presence of outliers: an MDL approach 

    López Valcarce, Roberto; Romero Gonzalez, Daniel; Sala Álvarez, José; Pagès Zamora, Alba Maria (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    We consider the problem of estimating the coefficients in a multivariable linear model by means of a wireless sensor network which may be affected by anomalous measurements. The noise covariance matrices at the different ...
  • Distributed TLS estimation under random data faults 

    Silva Pereira, Silvana; Pagès Zamora, Alba Maria; López Valcarce, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    This paper addresses the problem of distributed estimation of a parameter vector in the presence of noisy input and noisy output data, as well as data faults, performed by a wireless sensor network in which only local ...
  • Distributed Total Least Squares estimation over networks 

    López Valcarce, Roberto; Silva Pereira, Silvana; Pagès Zamora, Alba Maria (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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    We consider Total Least Squares (TLS) estimation in a network in which each node has access to a subset of equations of an overdetermined linear system. Previous distributed approaches require that the number of equations ...
  • How to implement doubly-stochastic matrices for consensus-based distributed algorithms 

    Valcarcel Macua, Sergio; Moreno Leon, Carlos; Samuel Romero, Jhoan; Silva Pereira, Silvana; Zazo Muncharaz, Javier; Pagès Zamora, Alba Maria; López Valcarce, Roberto; Zazo Bello, Santiago (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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    Doubly-stochastic matrices are usually required by consensus-based distributed algorithms. We propose a simple and efficient protocol and present some guidelines for implementing doubly-stochastic combination matrices even ...
  • Multiantenna GLR detection of rank-one signals with known power spectral shape under spatially uncorrelated noise 

    Sala Álvarez, José; Vázquez Vilar, Gonzalo; López Valcarce, Roberto; Sedighi, Saeid; Taherpour, Abbas (2016-12-01)
    Article
    Accés obert
    We establish the generalized likelihood ratio (GLR) test for a Gaussian signal of known power spectral shape and unknown rank-one spatial signature in additive white Gaussian noise with an unknown diagonal spatial ...
  • Multiantenna spectrum sensing exploiting spectral a priori information 

    Vázquez Vilar, Gonzalo; López Valcarce, Roberto; Sala Álvarez, José (2011-12)
    Article
    Accés restringit per política de l'editorial
    Dynamic Spectrum Access (DSA) is receiving considerable interest as a means to improve spectral usage in licensed bands. In order to avoid interference to licensed users, spectrum sensing has emerged as an enabling technology ...
  • Multiantenna spectrum sensing for cognitive radio: overcoming noise uncertainty 

    López Valcarce, Roberto; Vázquez Vilar, Gonzalo; Sala Álvarez, José (2010)
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    Spectrum sensing is a key ingredient of the dynamic spectrum access paradigm, but it needs powerful detectors operating at SNRs well below the decodability levels of primary signals. Noise uncertainty poses a significant ...