Reliability of noise-decorrelation method in inverse problems

碩士 === 國立交通大學 === 物理研究所 === 103 === Nowadays, massive amounts of measured data are available for analysis in various fields. However, the underlying mechanism yielding these data are often hard to extract. Therefore, it has become an important issue how to inversely deduce the mechanism of these dat...

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Main Authors: Lee, Wei-Chen, 李維真
Other Authors: Chang, Cheng-Hung
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/20304027195665368675
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spelling ndltd-TW-103NCTU51980182016-08-12T04:14:03Z http://ndltd.ncl.edu.tw/handle/20304027195665368675 Reliability of noise-decorrelation method in inverse problems 去雜訊相關性方法在反推問題上的可靠性 Lee, Wei-Chen 李維真 碩士 國立交通大學 物理研究所 103 Nowadays, massive amounts of measured data are available for analysis in various fields. However, the underlying mechanism yielding these data are often hard to extract. Therefore, it has become an important issue how to inversely deduce the mechanism of these data. Calculations by typical fitting methods will be rather complicated in high-dimensional systems. Recently some new ideas have been proposed to tackle this tricky problem. In this work, we use a newly developed method to resolve these inverse problems in different dynamical systems. Besides, we analyze the validity and precision of that theory and try to generalize this method. Finally, we try to apply this method to biological systems, e.g., how does a biological receptor extract the extracellular concentration of a signal molecule. Chang, Cheng-Hung 張正宏 2015 學位論文 ; thesis 38 zh-TW
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description 碩士 === 國立交通大學 === 物理研究所 === 103 === Nowadays, massive amounts of measured data are available for analysis in various fields. However, the underlying mechanism yielding these data are often hard to extract. Therefore, it has become an important issue how to inversely deduce the mechanism of these data. Calculations by typical fitting methods will be rather complicated in high-dimensional systems. Recently some new ideas have been proposed to tackle this tricky problem. In this work, we use a newly developed method to resolve these inverse problems in different dynamical systems. Besides, we analyze the validity and precision of that theory and try to generalize this method. Finally, we try to apply this method to biological systems, e.g., how does a biological receptor extract the extracellular concentration of a signal molecule.
author2 Chang, Cheng-Hung
author_facet Chang, Cheng-Hung
Lee, Wei-Chen
李維真
author Lee, Wei-Chen
李維真
spellingShingle Lee, Wei-Chen
李維真
Reliability of noise-decorrelation method in inverse problems
author_sort Lee, Wei-Chen
title Reliability of noise-decorrelation method in inverse problems
title_short Reliability of noise-decorrelation method in inverse problems
title_full Reliability of noise-decorrelation method in inverse problems
title_fullStr Reliability of noise-decorrelation method in inverse problems
title_full_unstemmed Reliability of noise-decorrelation method in inverse problems
title_sort reliability of noise-decorrelation method in inverse problems
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/20304027195665368675
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