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摘要
Subtracting the background accurately is one of the most important issues in energy-dispersive X-ray fluorescence (EDXRF) spectra processing. This paper presents a novel approach to perform background subtraction based on dual-tree complex wavelet transform. Compared with real wavelet transform, the proposed method has some attractive properties, including a smooth, nonoscillating, and nearly shift-invariant magnitude with a simple near-linear phase encoding of signal shifts. Therefore, it outperforms real wavelet transform to decompose background into low-frequency components. The effectiveness of the proposed approach is demonstrated via two simulated spectra with different kinds of backgrounds and one measured spectrum from an energy-dispersive X-ray spectrometer. Both simulated and experimental results prove that the proposed approach can subtract background in EDXRF spectra effectively.
- 出版日期2015-4
- 单位东南大学
