Wavelet Robust Filtering of Out-Trajectory Data

Ling Jing Meng; Hai Bo  Liu

doi:10.4028/www.scientific.net/AMR.756-759.344

Paper Titles

Calculation Error's Correction of Three-Component Geomagnetic Field's Marine Survey
p.323

Velocity Control of Unmanned Helicopter Based on Fuzzy-PID
p.327

The Key Management Scheme For the WMSN-Based Post-Disaster Road Monitoring System
p.332

Medium Access Control Layer Design and Simulation for 802.16 System
p.338

Wavelet Robust Filtering of Out-Trajectory Data
p.344

The Application of Fuzzy Control in Computer Control
p.349

Accuracy Analysis of Positioning Method for Fusion GPS Pseudo-Range and Continuous Wave Radar
p.354

On the Contrast and Research of Maximum Power Point Tracking Control in the Microgrids PV System
p.361

The Software Design of Intelligent Diagnosis System for Partial Discharge Fault of GIS
p.365

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Wavelet Robust Filtering of Out-Trajectory Data

Wavelet Robust Filtering of Out-Trajectory Data

Abstract:

Wavelet-based robust filtering of process data is proposed in order to reduce the influence of the outliers and noise in Out-trajectory data. We utilize the moving median filtering method to reject outliers in the original data and then combine wavelet de-noising method with empirical Wiener threshold to suppress noise. Simulation calculation and real engineering application has shown that the novel algorithm reliably preserves the information encapsulated in a process signal corrupted with noise and outliers. The methodology has been proved to be reliable and robust.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

344-348

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.344

Citation:

Cite this paper

Online since:

September 2013

Authors:

Ling Jing Meng, Hai Bo Liu

Keywords:

Empirical Wiener Filtering, Moving Median, Wavelet Transform (WT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] L. Li-sheng, Out-trajectory measurement data processing, Beijing: Industrial national defense press, (2002).

Google Scholar

[2] Z. Lian-feng, Y. Xiao-feng and M. Zhi-hua, An Integral and Recursive Filtering Method for Truncation Error Minimization and Outlier Suppression, Journal of Spacecraft TT&C Technology, vol. 25, 2006, pp.85-90.

Google Scholar

[3] D.L. Donoho, De-noising by soft thresholding, Ieee T Inform Theory, vol. 41, 1995, pp.613-627.

DOI: 10.1109/18.382009

Google Scholar

[4] D.L. Donoho and I.M. Johostone, Ideal spatial adaptation via wavelet shrinkage, Biometrica, vol. 81, 1994, pp.425-455.

DOI: 10.1093/biomet/81.3.425

Google Scholar

[5] A. Bakhtazad, A. Palazoglu and J. Romagnoli, Process data de-noising using wavelet transform, Intelligent Data Analysis, vol. 4, 1999, pp.267-285.

DOI: 10.3233/ida-1999-3403

Google Scholar

[6] W. Kui-nai, Z. Zhu-rong and L. Xue-feng, Study on Application of Wavelet Filters in Out-trajectory Data Processing, Journal of Spacecraft TT&C Technology, vol. 25, 2006, pp.72-76.

Google Scholar