Listar por autor UPNA "Zivanovic, Miroslav"
Mostrando ítems 1-8 de 8
-
Astronomical component estimation (ACE v.1) by time-variant sinusoidal modeling
Sinnesael, Matthias; Zivanovic, Miroslav
; Vleeschouwer, David De; Claeys, Philippe; Schoukens, Johan (Copernicus Publications, 2016)
Artículo / Artikulua 
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 ; Runacres, Mark (Wiley, 2022)
Artículo / Artikulua
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 ; Boulvain, Frédéric; Devleeschouwer, Xabier (Elsevier, 2022)
Artículo / Artikulua
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 ; Plaza Puértolas, Aitor ; Iriarte Goñi, Xabier ; Carlosena García, Alfonso (Elsevier, 2023)
Artículo / Artikulua
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 (2017)
Tesis doctoral / Doktoretza tesia
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 ; Runacres, Mark (IOP Publishing, 2020)
Contribución a congreso / Biltzarrerako ekarpena
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 ; Carlosena García, Alfonso (2002)
Contribución a congreso / Biltzarrerako ekarpena
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; Zivanovic, Miroslav ; Carlosena García, Alfonso (ISCA, 2003)
Contribución a congreso / Biltzarrerako ekarpena
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, ...
