Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques
Joint Authors
Kim, Yonsoo
Noh, Huiseong
Kang, Narae
Kim, Soojun
Kim, Hung Soo
Lee, Keonhaeng
Lee, Dong Ryul
Lim, Sanghun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478001