Research and Application of Denoising Method Based on Wavelet Threshold

For effectively detecting the backscattering optical wake flow signal from the noise, the original signal is transferred using four Daubechies wavelet decomposition (db4WD) of one dimension Disperse Wavelet Transformation. This method can distinguish the low and the high frequency section, and the t...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Wan Jun, Zhang Xiaohui, Rao Jionghui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Backscatter
Entropy
Marine vehicles
Noise
Noise reduction
Optical filters
Wavelet transforms
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Summary:For effectively detecting the backscattering optical wake flow signal from the noise, the original signal is transferred using four Daubechies wavelet decomposition (db4WD) of one dimension Disperse Wavelet Transformation. This method can distinguish the low and the high frequency section, and the threshold function is used to process the wavelet coefficient. A new threshold function is put forward on the basis of wavelet soft and hard threshold de-noising method. The new function has not only overcome discontinuity disadvantage of the hard threshold function, but also solved constant deviation which exists in the soft threshold function, and uses the entropy as a parameter which can measure the sparsity of the original signal data. The experiment shows that the new threshold function can effectively eliminate noise and offset the disadvantage of soft and hard threshold function. The efficiency of the new function is verified by the experiment.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678379