Have a personal or library account? Click to login

Application of Wavelet Analysis in The Prediction of Telemetry Data

By:
Open Access
|Oct 2019

Figures & Tables

Figure 1.

Data of 1 consecutive 4 hours curve graph
Data of 1 consecutive 4 hours curve graph

Figure 2.

Data of 2 consecutive 4 hours curve graph
Data of 2 consecutive 4 hours curve graph

Figure 3.

Comparison results of dbN wavelet based N=1,2,3,4
Comparison results of dbN wavelet based N=1,2,3,4

Figure 4.

Comparison of different decomposition scale approximation section
Comparison of different decomposition scale approximation section

Figure 5.

Comparison results between predicted values and actual results
Comparison results between predicted values and actual results

Figure 6.

The comparison results between the predicted values and the actual values of the modified boundary
The comparison results between the predicted values and the actual values of the modified boundary

THE TEST RESULTS OF A REMOTE SENSING DATA 1 STATIONARITY

Time2460120240
Mean Value608.618620.9572622.6287622.6287
Variance198.2080604.1601611.2902674.6010

THE TEST RESULTS OF A REMOTE SENSING DATA 2 STATIONARITY

Time2460120240
Mean Value29.247935.41337.123439.2378
Variance10.336630.901937.490242.5010
Language: English
Page range: 28 - 34
Published on: Oct 8, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2019 Jiangtao Xu, Pingping Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.