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Extracting useful information from time-frequency distributions of noisy signals (CROSBI ID 693201)
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Nicoletta Saulig
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, 09.09.2019-12.09.2019
Podaci o odgovornosti
Nicoletta Saulig
engleski
Extracting useful information from time-frequency distributions of noisy signals
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.
Time-frequency disrtibutions, spectrogram, entropy
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Podaci o prilogu
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Podaci o skupu
2nd Conference on Machine Learning for Gravitational Waves, Geophysics and Control Systems and 3rd g2net MC Meeting
pozvano predavanje
09.09.2019-12.09.2019
Rijeka, Hrvatska
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