• Second-order parameter estimation 

    Villares Piera, Nemesio J.; Vázquez Grau, Gregorio (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2005-07-31)
    Artículo
    Acceso abierto
    This work provides a general framework for the design of second-order blind estimators without adopting any approximation about the observation statistics or the a priori distribution of the parameters. The proposed ...
  • Self-similar prefractal frequency selective surfaces for multiband and dual-polarized applications 

    Gianvittorio, John P.; Romeu Robert, Jordi; Blanch Boris, Sebastián; Rahmat-Samii, Yahya (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2003-01-31)
    Artículo
    Acceso abierto
    Frequency-selective surfaces (FSS) that have been designed using the iterative techniques of fractals have been fabricated and measured. Fractals contain many scales of the starting geometry, each of which acts as a ...
  • Spectral iterative algorithm for RCS computation in electrically large or intermediate perfectly conducting cavities 

    Rius Casals, Juan Manuel; Lozano Solsona, Angel; Cardama Aznar, Ángel; Jofre Roca, Lluís (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 1994-06-01)
    Artículo
    Acceso abierto
    A novel algorithm designed to compute efficiently and accurately the high-frequency electromagnetic scattering from open-ended waveguide cavities is presented. The cavity is converted into a stepped-waveguide model so that ...
  • SSFB: a highly-efficient and scalable simulation reduction technique for SRAM yield analysis 

    Rana, Manish; Canal Corretger, Ramon (European Interactive Digital Advertising Alliance (EDAA), 2014)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    Estimating extremely low SRAM failure-probabilities by conventional Monte Carlo (MC) approach requires hundreds-of-thousands simulations making it an impractical approach. To alleviate this problem, failure-probability ...
  • Subset selection for multi-Gabor and non-orthogonal wavelets expansions 

    Rebollo-Neira, L; Fernández Rubio, Juan Antonio; Janer, L (IEEE Signal Processing Society, 1998)
    Texto en actas de congreso
    Acceso abierto
    Non-orthogonal wavelets and Gabor or multi-windows Gabor expansions involving well-localized synthesis/analysis functions are characterized by being redundant. This entails that the signal modeling is carried out through ...
  • The Koch monopole: a small fractal antenna 

    Puente Baliarda, Carles; Romeu Robert, Jordi; Cardama Aznar, Ángel (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2000-11)
    Artículo
    Acceso abierto
    Fractal objects have some unique geometrical properties. One of them is the possibility to enclose in a finite area an infinitely long curve. The resulting curve is highly convoluted being nowhere differentiable. One such ...
  • The Koch monopole: a small fractal antenna 

    Puente Baliarda, Carles; Romeu Robert, Jordi; Cardama Aznar, Ángel (2000-11)
    Artículo
    Acceso abierto
    Fractal objects have some unique geometrical properties. One of them is the possibility to enclose in a finite area an infinitely long curve. The resulting curve is highly convoluted being nowhere differentiable. One such ...
  • Trajectory estimation using an iterative method 

    Torres Ventura, Adrià (Universitat Politècnica de Catalunya, 2016-07-14)
    Trabajo final de grado
    Acceso abierto
    The objective of the present TFG is to analyze, using different models, how the traffic flow in a freeway is affected by the implementation of VSL zones, ramp metering, HOV lanes or others.
  • Unveiling internal evolution of parallel application computation phases 

    Servat Gelabert, Harald; Llort Sanchez, German Matías; Giménez Lucas, Judit; Huck, Kevin A.; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    As access to supercomputing resources is becoming more and more commonplace, performance analysis tools are gaining importance in order to decrease the gap between the application performance and the supercomputers' peak ...
  • Use of the most significant autocorrelation lags in iterative me spectral estimation 

    Lagunas Hernandez, Miguel A. (1984-04)
    Artículo
    Acceso abierto