Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals
| العنوان: | Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals |
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| المؤلفون: | Gia Thien Luu, Tran Trung Duy |
| المصدر: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319469089 ICTCC |
| بيانات النشر: | Springer International Publishing, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Noise, medicine.diagnostic_test, Computer science, Control theory, Nonparametric statistics, medicine, Electronic engineering, Electromyography, Muscle fiber conduction velocity, Parametric statistics, Low noise |
| الوصف: | Muscle fiber conduction velocity (MFCV) is generally measured by the estimation of the time delay between electromyography recording channels. In this paper, we compare performances of two well-known approaches: parametric and non-parametric. The results indicate that the non-parametric approach can obtain better performance when the noise is strong (SNR = 10 dB). With the low noise level, the parametric approaches become more interesting. |
| ردمك: | 978-3-319-46908-9 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::63b54fbd0e859fc34fb7432b4f834ba0 https://doi.org/10.1007/978-3-319-46909-6_5 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........63b54fbd0e859fc34fb7432b4f834ba0 |
| قاعدة البيانات: | OpenAIRE |
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