Acta Optica Sinica, Volume. 39, Issue 9, 0930007(2019)
Detection and Revision of Interference Spectral Signals Based on Wavelet Transforms
Fig. 1. Two simulated spectral signals. (a) Broad-band spectral curve; (b) narrow-band spectral curve
Fig. 2. Invalid data points of two simulated spectral signals. (a) Local magnification of broad-band spectrum interference fringe; (b) broad-band spectrum interference fringe; (c) local magnification of narrow-band spectrum interference fringe; (d) narrow-band spectrum interference fringe
Fig. 3. 15th-order corresponding signal after wavelet transform of interferometer signal. (a) Broad-band spectrum wavelet signal; (b) narrow-band spectrum wavelet signal
Fig. 4. Interference signal with missing sample point. (a) Complete signal; (b) locally amplified signal
Fig. 6. 15th-order corresponding signal of interference signal with missing sample point after wavelet transform. (a) Complete signal; (b) locally amplified signal
Fig. 7. Recovery spectral information from revised interference signal. (a) Broad-band spectral curve; (b) narrow-band spectral curve
Fig. 8. Relative errors of recovery spectral signal from simulated interference signal. (a) Broad-band spectral error curve; (b) narrow-band spectral error curve
Fig. 9. Experimental system. (a) Principle of system; (b) complete experimental system; (c) interference module
Fig. 10. Interference signal captured by experimental system and recovery spectral signal. (a) Interference signal; (b) wavelet transform signal; (c) recovery spectral signal
Fig. 11. Relative errors of recovery spectral signal from experimental interference signal
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Xin Meng, Lei Liu, Sheng Jiang, Bing Zhang, Zhizeng Li. Detection and Revision of Interference Spectral Signals Based on Wavelet Transforms[J]. Acta Optica Sinica, 2019, 39(9): 0930007
Category: Spectroscopy
Received: Feb. 25, 2019
Accepted: May. 21, 2019
Published Online: Sep. 9, 2019
The Author Email: Meng Xin (njustmengxin@163.com)