Nonlinear dynamical modeling features for brain-computer interface / Khaled Sayed Ahmed Sayed ; Supervised Yasser M. Kadah , Ayman M. Eldeib
Material type:
TextLanguage: English Publication details: Cairo : Khaled Sayed Ahmed Sayed , 2015Description: 71 P. : charts ; 30cmOther title: - خصائص نمذجة ديناميكية غير خطية للتواصل بين المخ والحاسوب [Added title page title]
- Issued also as CD
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2015.Kh.N (Browse shelf(Opens below)) | Not for loan | 01010110067718000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2015.Kh.N (Browse shelf(Opens below)) | 67718.CD | Not for loan | 01020110067718000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
This thesis aimed at introducing new features that characterize the shape of the shape of the RPS of the EEG signals to enhance the performance of the BCI systems. We used the first minimum of mutual information and Cao`s algorthm to determine the optimal delay-time (t) and the optimal embedding dimension (m) respectively. The calculated t and m were used to reconstruct the phase space of the underling dynamical system
Issued also as CD
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