Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic
| Autor: | Abdallah Hammad, Osama A. Elsayed, Eman A. Abdel-Ghaffar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
lcsh:Geodesy 0211 other engineering and technologies 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Fuzzy logic Signal Field (computer science) EEG Prony method 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing lcsh:QB275-343 Epilepsy Identification (information) GNSS applications Remote sensing (archaeology) Feature (computer vision) General Earth and Planetary Sciences Feature extraction Poles Biomedical engineering |
| Zdroj: | Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 41-45 (2021) |
| ISSN: | 1110-9823 |
| Popis: | Prony method is applied to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy seizure type classification. Feature extractions of both the Global navigation satellite systems (GNSS) signal and the epilepsy seizure from a human Electroencephalograph (EEG) signal are based on the poles location of the signal. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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