Some considerations on physical analysis of data
Wu, Zhaohua1; Huang, Norden E.2; Chen, Xianyao3
2011-04-01
卷号3
期号1-2
DOI10.1142/S1793536911000660
页码95-113
英文摘要In this paper, we present some general considerations about data analysis from the perspective of a physical scientist and advocate the physical, instead of mathematical, analysis of data. These considerations have been accompanying our development of novel adaptive, local analysis methods, especially the empirical mode decomposition and its major variation, the ensemble empirical mode decomposition, and its preliminary mathematical explanations. A particular emphasis will be on the advantages and disadvantages of mathematical and physical constraints associated with various analysis methods. We argue that, using data analysis in a given temporal domain of observation as an example, the mathematical constraints imposed on data may lead to difficulties in understanding the physics behind the data. With such difficulties in mind, we promote adaptive, local analysis method, which satisfies fundamental physical principle of consequent evolution of a system being not able to change the past evolution of the system. We also argue, using the ensemble empirical mode decomposition as an example, that noise can be helpful to extract physically meaningful signals hidden in noisy data. © 2011 World Scientific Publishing Company.
会议录Advances in Adaptive Data Analysis
会议录出版者World Scientific Publishing Co. Pte Ltd
语种英语
ISSN号17935369
内容类型会议论文
源URL[http://ir.fio.com.cn:8080/handle/2SI8HI0U/7213]  
专题自然资源部第一海洋研究所
作者单位1.Department of Earth, Ocean, and Atmospheric Science, Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306-4520, United States;
2.Research Center for Adaptive Data Analysis, National Central University, Chungli, Taiwan;
3.First Institute of Oceanography, State Oceanic Administration, Qingdao, Shandong 266061, China
推荐引用方式
GB/T 7714
Wu, Zhaohua,Huang, Norden E.,Chen, Xianyao. Some considerations on physical analysis of data[C]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace