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Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques
المؤلفون المشاركون
Kim, Yonsoo
Noh, Huiseong
Kang, Narae
Kim, Soojun
Kim, Hung Soo
Lee, Keonhaeng
Lee, Dong Ryul
Lim, Sanghun
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-20
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The aim of this study is to evaluate the filtering techniques which can remove the noise involved in the time series.
For this, Logistic series which is chaotic series and radar rainfall series are used for the evaluation of low-pass filter (LF) and Kalman filter (KF).
The noise is added to Logistic series by considering noise level and the noise added series is filtered by LF and KF for the noise reduction.
The analysis for the evaluation of LF and KF techniques is performed by the correlation coefficient, standard error, the attractor, and the BDS statistic from chaos theory.
The analysis result for Logistic series clearly showed that KF is better tool than LF for removing the noise.
Also, we used the radar rainfall series for evaluating the noise reduction capabilities of LF and KF.
In this case, it was difficult to distinguish which filtering technique is better way for noise reduction when the typical statistics such as correlation coefficient and standard error were used.
However, when the attractor and the BDS statistic were used for evaluating LF and KF, we could clearly identify that KF is better than LF.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Soojun& Noh, Huiseong& Kang, Narae& Lee, Keonhaeng& Kim, Yonsoo& Lim, Sanghun…[et al.]. 2014. Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-478001
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Soojun…[et al.]. Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques. Advances in Meteorology No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-478001
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Soojun& Noh, Huiseong& Kang, Narae& Lee, Keonhaeng& Kim, Yonsoo& Lim, Sanghun…[et al.]. Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-478001
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-478001
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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