کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10480878 | 933005 | 2013 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modified multiscale entropy for short-term time series analysis
ترجمه فارسی عنوان
آنتروپی چند متغیره تعدیل شده برای تجزیه و تحلیل سری های کوتاه مدت
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
چکیده انگلیسی
Multiscale entropy (MSE) is a prevalent algorithm used to measure the complexity of a time series. Because the coarse-graining procedure reduces the length of a time series, the conventional MSE algorithm applied to a short-term time series may yield an imprecise estimation of entropy or induce undefined entropy. To overcome this obstacle, the modified multiscale entropy (MMSE) was developed. The coarse-graining procedure was replaced with a moving-average procedure and a time delay was incorporated for constructing template vectors in calculating sample entropy. For conducting short-term time series analysis, this study shows that the MMSE algorithm is more reliable than the conventional MSE.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 392, Issue 23, 1 December 2013, Pages 5865-5873
Journal: Physica A: Statistical Mechanics and its Applications - Volume 392, Issue 23, 1 December 2013, Pages 5865-5873
نویسندگان
Shuen-De Wu, Chiu-Wen Wu, Kung-Yen Lee, Shiou-Gwo Lin,