De-noising based on wavelet transform in Rayleigh-Taylor instability analysis

jiang wei; zhao zongqing; yuan yongteng; hao yidan; miao wenyong

Volume 23 Issue 09

Sep. 2012

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Article Navigation > High Power Laser and Particle Beams > 2011 > 23(09): 0-

gao qiwen, li shaohui. Explosion dynamics of heteroclusters in ultraintense femtosecond laser field[J]. High Power Laser and Particle Beams, 2010, 22.

Citation:

jiang wei, zhao zongqing, yuan yongteng, et al. De-noising based on wavelet transform in Rayleigh-Taylor instability analysis[J]. High Power Laser and Particle Beams, 2011, 23.

gao qiwen, li shaohui. Explosion dynamics of heteroclusters in ultraintense femtosecond laser field[J]. High Power Laser and Particle Beams, 2010, 22.

Citation:

jiang wei, zhao zongqing, yuan yongteng, et al. De-noising based on wavelet transform in Rayleigh-Taylor instability analysis[J]. High Power Laser and Particle Beams, 2011, 23.

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De-noising based on wavelet transform in Rayleigh-Taylor instability analysis

1.
Research Center of Laser Fusion,CAEP,P.O.Box 919-986,Mianyang 621900,China

Publish Date: 2011-09-15

Abstract

Abstract

In hydrodynamics instability experiment, the quantificational relation between amplitude fluctuation of sample and X-ray intensity is important to analysing Rayleigh-Taylor instability exactly. The signal-to-noise of the data is always low due to the complex image environment, thus improving the signal-to-noise of the image is inevitable. With the area backlighting, the X-ray intensity images were recorded by XSC in ShenguangⅡ facility. Daubechies wavelet filtering and Wiener filtering were used to de-noise the data separately. The results show that the Daubechies wavelet filtering is better than the Wiener filtering in de-noising and maintaining the detail of the signal.
- backlight,
- rayleigh-taylor instability,
- daubechies wavelet,
- de-noising

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