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Sunspot area periodic characteristic analysis method based on HHT of EEMD

A sunspot and feature analysis technology, applied in the field of astronomical technology and signal processing, can solve the problem of inaccurate time scale, and achieve the effect of solving inaccurate time scale

Active Publication Date: 2018-11-13
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for analyzing the periodic characteristics of sunspot area based on HHT of EEMD, which is used to solve the problem that the traditional periodic analysis method is constrained by the basis function and the time scale is inaccurate

Method used

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  • Sunspot area periodic characteristic analysis method based on HHT of EEMD
  • Sunspot area periodic characteristic analysis method based on HHT of EEMD
  • Sunspot area periodic characteristic analysis method based on HHT of EEMD

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Embodiment 1

[0025] Embodiment 1: as Figure 1-16 Shown, a kind of method based on the sunspot area cycle characteristic analysis of the HHT of EEMD, the concrete steps of described method are as follows:

[0026] Step 1: Data smoothing: First, smooth the sunspot area data (using the southern hemisphere sunspot area data from May 1874 to October 2016 (daily average); figure 2 is the original data of the sunspot area in the southern hemisphere, image 3 is the smoothed data image).

[0027] SouthSmooth = smooth(South,w,'moving')

[0028]

[0029] Among them, SouthSmooth is the smoothed data, South is the original data of sunspots, w is the smoothing scale, moving means to smooth the data with the method of moving average filter, n is the nth data, and the continuous sampling data is regarded as a length For a queue fixed at N, after a new measurement, the first data of the above queue is removed, and the remaining N-1 data are moved forward in turn, and the new sampling data is inser...

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Abstract

The invention relates to a sunspot area periodic characteristic analysis method based on HHT of EEMD and belongs to the fields of astronomical technology and signal processing. By the adoption of thesunspot area periodic characteristic analysis method based on Hilbert-Huang transformation (HHT) of an ensemble empirical mode decomposition (EEMD) algorithm, fluctuations on different time scales areseparated from original data, and changes of different frequencies over time are clearly manifested. Compared with common methods, the method is direct and self-adaptive and is based on data itself,and the problems that a traditional periodic analysis method is constrained by a base function and is inaccurate in time scale are effectively solved.

Description

technical field [0001] The invention relates to a method for analyzing the period characteristic of sunspot area based on HHT of EEMD, which belongs to the field of astronomical technology and signal processing. Background technique [0002] Sunspots are a basic phenomenon of solar activity. Studying the properties of sunspots is of great significance for understanding the internal structure of the sun and the space environment. People usually use the relative number of sunspots or the area of ​​sunspots to study its variation. Among them, the number of sunspot area records the area of ​​sunspots that appear on the visible sun surface every day. In a sense, it records the daily magnetic flux of a kind of solar magnetic activity, which represents the power of sunspots produced by the solar generator. One-millionth of the area of ​​the sun's hemisphere. Relevant studies have shown that the change of sunspot area reflects the change of solar surface activities (such as facula...

Claims

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Application Information

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IPC IPC(8): G06F17/14
CPCG06F17/14
Inventor 冯松刘伟行
Owner KUNMING UNIV OF SCI & TECH
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