The De-Noising Algorithm Based on Intrinsic Time-Scale Decomposition

Jin Xia Zeng; Guo Fu Wang; Fa Quan Zhang; Jin Cai Ye

doi:10.4028/www.scientific.net/AMR.422.347

Paper Titles

A Feature-Based Approach to Path Planning for in-Process Probing Operations in STEP-Compliant NC Manufacture
p.326

Design of High-Pressure Waterjet Descaling Nozzles Testing System with LabVIEW
p.333

Study on Plasticity Shaped Technics of Speed-Down Gears of New Type Tractor
p.338

The Performance of Kolmogorov–Smirnov Statistic in Noise Identification
p.342

The De-Noising Algorithm Based on Intrinsic Time-Scale Decomposition
p.347

Study of the Parametric Design and Experiment of a Single Unit Integrated Laser Photo-Interrupter
p.353

Transformation of System Action for Reconfigurable Automation Work System
p.359

The Temperature Field Finite Element Analysis and Simulation of One Kind of Magnetic Agitation System
p.365

Study on Bonding Technology Parameter Optimize of MEMS Packaging Based on Robust Parameter Design
p.370

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 422The De-Noising Algorithm Based on Intrinsic...

The De-Noising Algorithm Based on Intrinsic Time-Scale Decomposition

Abstract:

A new de-noising algorithm based on Intrinsic Time-scale Decomposition (ITD) is proposed after analyzing the statistical characteristics of additional Gaussian white noise decomposed by ITD. Compared with the Wavelet Threshold De-noising(WTD) and de-noising algorithms based on empirical mode decomposition (EMD), the numerical simulation results show that this algorithm has comparable performance with the de-noising based on EMD and the WTD, and it is no need for spline interpolation, iterative sifting and selection of the wavelet base. It is a new adaptive de-noising algorithm.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 422)

Pages:

347-352

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.422.347

Citation:

Cite this paper

Online since:

December 2011

Authors:

Jin Xia Zeng, Guo Fu Wang, Fa Quan Zhang, Jin Cai Ye

Keywords:

De-Noising, Empirical Mode Decomposition (EMD), Intrinsic Time-Scale Decomposition (ITD), Wavelet Threshold De-Noising (WTD)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Vesselin Vatchev, Robert Sharpley：Proceeding of the royal society-series A.Vol. 464(2008), pp.2265-2280.

Google Scholar

[2] Mark G. Frei, Ivan Osorio:Proceeding of the royal society-series A. Vol.463(2007), pp.321-342.

Google Scholar

[3] Huang N.E, Shen Z, Long S.R.etal:Proceeding of the Royal Society of London.Vol.454(1998), pp.903-995.

Google Scholar

[4] Yih-Nen Jeng, P.G Huang, You-Chi Cheng: Proceeding of the royal society-series A. Vol.464(2008), pp.1673-1675.

Google Scholar

[5] He Kun, Li Jiang, Qiao Qiang:Signal Processing.Vol. 21(2005), pp.244-248.

Google Scholar

[6] Gao Yun-chao, Sang En-fang, Liu Bai-feng:Computer Engineering and Application.Vol.43(2007), pp.59-61.

Google Scholar

[7] Jun Jason Zhang, Bertrand Gottin and Cornel Ioana:IEEE Transactions. Signal Processing.Vol. 57(2009), pp.2973-2985.

Google Scholar

[8] Yannis Kopsinis and Stephen McLaughlin:IEEE Transactions. Signal Processing.Vol. 57(2009), pp.1354-1362.

Google Scholar

[9] Jinshan Lin:Comparison between intrinsic time-scale decomposition and Hilbert-Huang transform ( International Conference. Information Science and Engineering (ICISE), China 2010 )

DOI: 10.1109/icise.2010.5691974

Google Scholar

[10] Xue Li, Bin Tian:An ITD based automatic digital modulation recognition algorithm for broadband mobile multimedia communication system (IEEE International Symposium. Broadband Multimedia Systems and Broadcasting (BMSB), China 2010)

DOI: 10.1109/isbmsb.2010.5463100

Google Scholar