Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic
The Egyptian Journal of Remote Sensing and Space Science • 2019
معلومات البحث
المؤلفون
Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar
الكلمات المفتاحية
EEG signals
المجلة العلمية
The Egyptian Journal of Remote Sensing and Space Science
الناشر
Not Available
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
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.
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