Earticle

초록

영어

Time series is an indicator at different times on different values, arranged in chronological sequence. The basic idea of the multi-scale analysis by orthogonal transformation, and it is such as wavelet transform signal decomposition analysis on different scales. The timing analysis method is achieved through the model method. The process parameters of the dynamic data time-domain analysis method is a parametric model to fit the observed data, and then use this model to analyze the observational data and produce data system. The paper presents the design of the multi-scale data fusion algorithm based on time series analysis. Finally, the advantages of the new algorithm are elaborated from the estimation accuracy and simulation demonstrated the effectiveness of the new algorithm.

목차

Abstract
 1. Introduction
 2. Time Series Analysis
 3. Designing of Multi-Scale Data Fusion Algorithm
 4. The Design of the Multi-Scale Data Fusion Algorithm Based on Time Series Analysis
 5. Conclusions
 References

키워드

저자

• Chunxia Wang [ School of Computer and Information Technology, Shangqiu Normal University, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605