Per accedir als documents amb el text complet, si us plau, seguiu el següent enllaç: http://hdl.handle.net/2117/120304
dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
---|---|
dc.contributor | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.contributor.author | Cabrera Estanyol, Ferran de |
dc.contributor.author | Riba Sagarra, Jaume |
dc.contributor.author | Vázquez Grau, Gregorio |
dc.date | 2018 |
dc.identifier.citation | De Cabrera, F., Riba, J., Vazquez, G. Robust estimation of the magnitude squared coherence based on Kernel signal processing. A: Asilomar Conference on Signals, Systems, and Computers. "Conference record of the Fifty-First Asilomar Conference on Signals, Systems & Computers: October 29-November 1, 2017 Pacific Grove, California". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 890-894. |
dc.identifier.citation | 978-1-5386-1823-3 |
dc.identifier.citation | 10.1109/ACSSC.2017.8335477 |
dc.identifier.uri | http://hdl.handle.net/2117/120304 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | https://ieeexplore.ieee.org/document/8335477/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject | Entropy (Information theory) |
dc.subject | Gaussian processes |
dc.subject | Signal processing |
dc.subject | Kernel |
dc.subject | Covariance matrices |
dc.subject | Robustness |
dc.subject | Maximum likelihood estimation |
dc.subject | Coherence |
dc.subject | Entropy |
dc.subject | Entropia (Teoria de la informació) |
dc.subject | Processos gaussians |
dc.subject | Tractament del senyal |
dc.title | Robust estimation of the magnitude squared coherence based on Kernel signal processing |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
dc.description.abstract |