Yayın: Detection of Power Disturbances using Emprical Mode Decomposition and Hilbert Transform
| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.contributor.author | Ece, D.G. | |
| dc.contributor.author | D.G. Ece | |
| dc.contributor.orcid | 0000-0003-0173-0948 | |
| dc.contributor.orcid | 0000-0001-8183-1356 | |
| dc.date.accessioned | 2025-11-13T22:41:14Z | |
| dc.date.issued | 2015-06-30 | |
| dc.identifier.openalex | W1797498449 | |
| dc.identifier.uri | https://hdl.handle.net/11421/14977 | |
| dc.identifier.uri | https://dergipark.org.tr/tr/pub/bseufbd/issue/22288/239051 | |
| dc.language.iso | en | |
| dc.rights | restrictedAccess | |
| dc.subject | Hilbert–Huang transform | |
| dc.subject | Hilbert transform | |
| dc.subject | Harmonics | |
| dc.subject | Waveform | |
| dc.subject | Instantaneous phase | |
| dc.subject | Hilbert spectral analysis | |
| dc.subject | Signal processing | |
| dc.subject | Nonlinear system | |
| dc.subject | Harmonic analysis | |
| dc.subject | Mathematics | |
| dc.subject | Control theory (sociology) | |
| dc.subject | Time–frequency analysis | |
| dc.subject | Swell | |
| dc.subject | Envelope (radar) | |
| dc.subject | Power (physics) | |
| dc.subject | Computer science | |
| dc.subject | Spectral density | |
| dc.subject | Voltage | |
| dc.subject | Electronic engineering | |
| dc.subject | Engineering | |
| dc.subject | White noise | |
| dc.subject | Mathematical analysis | |
| dc.subject | Physics | |
| dc.subject | Artificial intelligence | |
| dc.subject | Telecommunications | |
| dc.subject | Digital signal processing | |
| dc.subject | Electrical engineering | |
| dc.subject | Statistics | |
| dc.title | Detection of Power Disturbances using Emprical Mode Decomposition and Hilbert Transform | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5035651018 | |
| local.authorid.openalex | A5110343935 |
