Now showing items 1-12 of 12

    • D6.2 Report of Final validation in snow avalanches 

      Santiago Montilla, Leonardo Alberto; Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria (2015-04-10)
      Research report
      Open Access
      Once the RESCUECELL system was integrated, all the functionalities were tested in terms of accuracy, and performance under real scenarios in collapsed structures 1 and snow. For this purpose, a set of tests and ...
    • 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)
      Conference lecture
      Open Access
      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 ...
    • DOA estimation via shift-invariant matrix completion 

      Garg, Vaibhav; Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Santamaria Caballero, Ignacio (2021-06)
      Article
      Restricted access - confidentiality agreement
      This paper presents a method to estimate the direction of arrival (DOA) of multiple sources received by a uniform linear array (ULA) with a reduced number of radio-frequency (RF) chains. The receiving array relies on antenna ...
    • Generalization error bounds for kernel matrix completion and extrapolation 

      Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Giannakis, Georgios B. (2020-01-27)
      Article
      Open Access
      Prior information can be incorporated in matrix completion to improve estimation accuracy and extrapolate the missing entries. Reproducing kernel Hilbert spaces provide tools to leverage the said prior information, and ...
    • Matrix completion and extrapolation via kernel regression 

      Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Giannakis, Georgios B. (2019-10-01)
      Article
      Open Access
      Matrix completion and extrapolation (MCEX) are dealt with here over reproducing kernel Hilbert spaces (RKHSs) in order to account for prior information present in the available data. Aiming at a fast and low-complexity ...
    • Matrix completion of noisy graph signals via proximal gradient minimization 

      Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference lecture
      Open Access
      This paper takes on the problem of recovering the missing entries of an incomplete matrix, which is known as matrix completion, when the columns of the matrix are signals that lie on a graph and the available observations ...
    • Matrix completion with prior information in reproducing kernel Hilbert spaces 

      Giménez Febrer, Pedro Juan (Universitat Politècnica de Catalunya, 2021-02-11)
      Doctoral thesis
      Open Access
      In matrix completion, the objective is to recover an unknown matrix from a small subset of observed entries. Most successful methods for recovering the unknown entries are based on the assumption that the unknown full ...
    • Online EM-based distributed estimation in sensor networks with faulty nodes 

      Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; López Valcarce, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference lecture
      Restricted access - publisher's policy
      This paper focuses on the problem of the distributed estimation of a parameter vector based on noisy observations regularly acquired by the nodes of a wireless sensor network and assuming that some of the nodes have faulty ...
    • Passive sampling in reproducing kernel Hilbert spaces using leverage scores 

      Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Santamaria Caballero, Ignacio (2022-10-01)
      Article
      Restricted access - publisher's policy
      This paper deals with the selection of the training dataset in kernel-based methods for function reconstruction, with a focus on kernel ridge regression. A functional analysis is performed which, in the absence of noise, ...
    • Robust clustering of data collected via crowdsourcing 

      Pagès Zamora, Alba Maria; Giannakis, Georgios B.; López Valcarce, Roberto; Giménez Febrer, Pedro Juan (2017)
      Conference report
      Open Access
      Crowdsourcing approaches rely on the collection of multiple individuals to solve problems that require analysis of large data sets in a timely accurate manner. The inexperience of participants or annotators motivates well ...
    • Source enumeration via Toeplitz matrix completion 

      Vaibhav, Garg; Giménez Febrer, Pedro Juan; Pagès Zamora, Alba Maria; Santamaria Caballero, Ignacio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      This paper addresses the problem of source enumeration by an array of sensors in the presence of noise whose spatial covariance structure is a diagonal matrix with possibly different variances, referred to non-iid noise ...
    • Study and Implementation of Estimation Algorithms of Time of Arrival and Received Signal Strength for the Localization of Mobile Terminals in Emergency Situations 

      Giménez Febrer, Pedro Juan (Universitat Politècnica de Catalunya, 2013-10-31)
      Master thesis (pre-Bologna period)
      Restricted access - confidentiality agreement
      [ANGLÈS] This thesis addresses the problem of estimating the time of arrival (TOA) and received signal strength (RSS) of a signal transmitted from a GSM mobile terminal in a disaster scenario where the terminal is buried ...