Extraction SR-ELEF Application Based on MALLAT-ALE Analysis

Author

Ji Dou ; Wang Xiang-jun

Author_Institution

Inst. of Elec. & Info. of Eng., Naval Univ. of Eng., Wuhan, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

The digital signal processing method for adaptive line enhancement (ALE) with wavelet multi-resolution analysis algorithm (MALLAT) can extract the characteristic signal of the shaft-rate modulated electric field from the environment noise. The method analyzes the signal and noise into different frequency range with wavelet analysis, and the adaptive filter´s orders would be shortened. So it improves the speed of convergence and the performance of system. Using this method, the capability of measurement on the shaft-rate modulated electric field of a ship can be improved. Experimental and practical results show that the method is effective.

Keywords

adaptive filters; electric fields; marine engineering; noise; shafts; ships; signal processing; wavelet transforms; adaptive filter; adaptive line enhancement; characteristic signal extraction; digital signal processing method; environment noise; shaft rate-extremely low frequency electric field; shaft-rate modulated electric field; wavelet multiresolution analysis algorithm; Adaptive filters; Algorithm design and analysis; Digital modulation; Digital signal processing; Frequency; Signal analysis; Signal processing; Signal processing algorithms; Wavelet analysis; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5364879

Filename

5364879