Title :
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
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;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.148
