Wavelet Threshold De-noising Applications in Avionics Test Data Processing

Author

Feng Tian ; Jian Sun ; Shan Shao

Author_Institution

Coll. of Autom., Shenyang Aerosp. Univ., Shenyang, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

667

Lastpage

671

Abstract

In the avionics test, sensor signal samplings are often subjected to the interference of all kinds of noise, which could not accurately reflect the real operating status of the equipment and should not be directly used for data processing and analysis. In order to de-noise test data, a new threshold function is presented and the preprocessing wavelet is determined by reconstruction factor according to the characteristics of avionics test data through wavelet transform. Compared with other two improved functions, this new threshold function has a better effect in MATLAB simulation.

Keywords

aircraft testing; avionics; signal denoising; signal reconstruction; signal sampling; wavelet transforms; Matlab simulation; avionics test data processing; data analysis; preprocessing wavelet; reconstruction factor; sensor signal samplings; test data denoising; threshold function; wavelet threshold denoising; wavelet transform; Aerospace electronics; Noise; Noise measurement; Noise reduction; Wavelet analysis; Wavelet coefficients; avionics test; de-noising; reconstruction factor; threshold function; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.148

Filename

6840538