Signal-tuned Gabor approach for power disturbance classification
| Autor: | José R. A. Torreão, Silvia M.C. Victer, Julio C. Ferreira |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
020209 energy Gabor wavelet Resolution (electron density) Pattern recognition 02 engineering and technology Gabor transform Signal Power (physics) symbols.namesake Fourier transform Computer Science::Sound 0202 electrical engineering electronic engineering information engineering symbols Waveform Gabor–Wigner transform Artificial intelligence business Mathematics |
| Zdroj: | 2016 17th International Conference on Harmonics and Quality of Power (ICHQP). |
| DOI: | 10.1109/ichqp.2016.7783425 |
| Popis: | The signal-tuned Gabor transforms are variant Gabor transforms based on temporal or spectral kernels whose parameters are defined, respectively, by the Fourier and inverse Fourier transforms of the analyzed signal. This yields time-frequency transforms which are tuned to the specific features of their inputs, thus allowing analysis with high conjoint spectro-temporal resolution. Here we investigate the use of the signal-tuned Gabor transforms as tools for the classification of electric power waveform disturbances |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|