Pregled bibliografske jedinice broj: 1075751
Extracting useful information from time-frequency distributions of noisy signals
Extracting useful information from time-frequency distributions of noisy signals // 2nd Conference on Machine Learning for Gravitational Waves, Geophysics and Control Systems and 3rd g2net MC Meeting
Rijeka, Hrvatska, 2019. (pozvano predavanje, nije recenziran, neobjavljeni rad, znanstveni)
CROSBI ID: 1075751 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Extracting useful information from time-frequency
distributions of noisy signals
Autori
Nicoletta Saulig
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
2nd Conference on Machine Learning for Gravitational Waves, Geophysics and Control Systems and 3rd g2net MC Meeting
Mjesto i datum
Rijeka, Hrvatska, 09.09.2019. - 12.09.2019
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
Time-frequency disrtibutions, spectrogram, entropy
Sažetak
The problem of extracting useful information from noisy signals' mixtures by means of statistical measures is analysed. Entropy based measures are compared to computationally less expensive ICI- based techniques.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
