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Method for converting time sequence into image based on improved recurrence plot

A time series and improved technology, applied in the field of time series to image conversion, can solve problems such as complex calculation steps, uncertainty in threshold selection, loss of detail features, etc., and achieve the effect of convenient research

Inactive Publication Date: 2019-12-20
HOHAI UNIV CHANGZHOU
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  • Application Information

AI Technical Summary

Problems solved by technology

The calculation process of GAF and MTF methods is cumbersome and the calculation steps are complicated. The recursive graph method has the uncertainty of threshold selection and the loss of detail features after encoding. Therefore, it is necessary to improve the existing encoding methods.

Method used

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  • Method for converting time sequence into image based on improved recurrence plot
  • Method for converting time sequence into image based on improved recurrence plot
  • Method for converting time sequence into image based on improved recurrence plot

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Embodiment

[0071] A certain time series signal (x 1 ,x 2 ,x 3 ,...,x n ) is (0, 1, 2, 1, 2, 3, 4, 3, 2, 3, 2, 1, 2), n=13.

[0072] According to formula 1 and formula 2 can be obtained:

[0073] S=((0,1),(1,2),(2,1),(1,2),(2,3),(3,4),(4,3),(3,2) ,(2,3),(3,2),(2,1)(1,2))

[0074] After calculating the recursive matrix R, the color two-dimensional texture image is obtained, and then after grayscale processing, the final two-dimensional texture image is obtained as figure 2 shown.

[0075] Depend on figure 2 It can be seen that, compared with the binarized texture map generated by the traditional recursive map, the method of the present invention can take the value of each pixel point between 0 and 255, and refine the difference between each pixel point, The characteristic information of time series data can be preserved more completely.

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Abstract

The invention discloses a method for converting time sequence into an image based on an improved recurrence plot. The improved recurrence plot is adopted to convert time sequence data into a two-dimensional texture image, and comprises the steps: intercepting a one-dimensional time sequence signal with a proper length from original data, and converting the one-dimensional time sequence signal intoa two-dimensional phase space track; calculating a recursion matrix R by using an improved RP formula, and obtaining a color two-dimensional texture image through the recursion matrix R; and performing graying processing on the color two-dimensional texture image to obtain a final two-dimensional texture image. The recurrence plot is improved by omitting a threshold processing step and adding a graying processing method.

Description

technical field [0001] The invention belongs to the field of time series signal data processing, and relates to a conversion method from time series to images based on an improved recursive graph. Background technique [0002] As a common temporal data type, time series data widely exists in daily production and life. Various time series data contain a wealth of information. Processing and classifying time series data can reveal valuable information in the data, which can be used to guide production and life and provide a true and accurate basis for relevant decisions. Currently, time series data are widely used in fields such as medical diagnosis, electronic health records, human activity recognition, industrial equipment, acoustic scene classification, weather prediction and network security, so it is scientific and reasonable to process and classify various time series data has very important practical significance. [0003] At present, the artificial neural network alg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00G06T11/00G06T11/20
CPCG06T9/00G06T11/001G06T11/206
Inventor 齐本胜张衡贾澜苗红霞
Owner HOHAI UNIV CHANGZHOU
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