Now showing items 1-8 of 8

    • Astronomical component estimation (ACE v.1) by time-variant sinusoidal modeling 

      Sinnesael, Matthias; Zivanovic, Miroslav Upna Orcid; Vleeschouwer, David De; Claeys, Philippe; Schoukens, Johan (Copernicus Publications, 2016)   Artículo / Artikulua  OpenAccess
      Accurately deciphering periodic variations in paleoclimate proxy signals is essential for cyclostratigraphy. Classical spectral analysis often relies on methods based on (fast) Fourier transformation. This technique has ...
    • Data-driven generation of synthetic wind speeds: a comparative study 

      D'Ambrosio, Daniel; Schoukens, Johan; Troyer, T. De; Zivanovic, Miroslav Upna Orcid; Runacres, Mark (Wiley, 2022)   Artículo / Artikulua  OpenAccess
      The increasing sophistication of wind turbine design and control generates a need for high-quality wind data. The relatively limited set of available measured wind data may be extended with computer generated data, for ...
    • A decomposition approach to cyclostratigraphic signal processing 

      Wouters, Sebastien; Crucifix, Michel; Sinnesael, Matthias; Silva, Anne-Christine da; Zeeden, Christian; Zivanovic, Miroslav Upna Orcid; Boulvain, Frédéric; Devleeschouwer, Xabier (Elsevier, 2022)   Artículo / Artikulua  OpenAccess
      Sedimentary rocks can record signals produced byhighly complex processes. These signals are generated by a progressive deposition of sediments which can be affected, mainly through the climate system, by regular astronomical ...
    • Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines 

      Zivanovic, Miroslav Upna Orcid; Plaza Puértolas, Aitor Upna Orcid; Iriarte Goñi, Xabier Upna Orcid; Carlosena García, Alfonso Upna Orcid (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
      We present a novel approach to harmonic disturbance removal in single-channel wind turbine acceleration data by means of time-variant signal modeling. Harmonics are conceived as a set of quasi-stationary sinusoids whose ...
    • Non-negative matrix decomposition for single-channel source separation in biomedical signal processing applications 

      Niegowski, Maciej Upna (2017)   Tesis doctoral / Doktoretza tesia  OpenAccess
      La separación de fuentes en el procesamiento de señales digitales, consiste en encontrar las mejores aproximaciones de las componentes de una mezcla de señales. Aunque en la mayoría de los casos no se dispone de antemano ...
    • Synthetic wind speed generation for the simulation of realistic diurnal cycles 

      D’Ambrosio, D.; Schoukens, Johan; Troyer, T. De; Zivanovic, Miroslav Upna Orcid; Runacres, Mark (IOP Publishing, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Synthetic wind-speed generators can provide a detailed characterisation of the wind variability at different time scales. A keen interest in the availability of synthetic wind speeds has recently risen in wind power modelling ...
    • Two methods for nonparametric spectrum peak discrimination 

      Zivanovic, Miroslav Upna Orcid; Carlosena García, Alfonso Upna Orcid (2002)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The conventional DFT-oriented nonparametric interpolation methods, based on time windowing and the DTFT envelope curve resampling (zero padding, Chirp-z [1], frequency scale distortion [2], etc.), can improve the spectrum ...
    • Unified analysis of glottal source spectrum 

      Arroabarren Alemán, Ixone Upna; Zivanovic, Miroslav Upna Orcid; Carlosena García, Alfonso Upna Orcid (ISCA, 2003)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The spectral study of the glottal excitation has traditionally been based on a single time-domain mathematical model of the signal, and the spectral dependence on its time domain parameters. Opposite to this approach, ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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