DENOISING AND SPIKE REMOVAL FROM RAMAN SPECTRA USING DOUBLE DENSITY DUAL-TREE COMPLEX WAVELET TRANSFORM
Abstract
We aim to show the effectiveness of the double density dual-tree complex wavelet transform to denoise the Raman signal. A comparative study is carried out of the double density dual-tree complex wavelet transform with the discrete wavelet transform, dual tree complex wavelet transforms, and Savitzky–Golay smoothing method to show its capability and effectiveness. Results show that denoising based on the double density dual-tree complex wavelet transform can improve the quantitative and qualitative analysis of the Raman signal.
About the Authors
T. S. Sharan
School of Biomedical Engineering at Indian Institute of Technology (BHU)
India
Varanasi-221003, Uttar Pradesh
India
Varanasi-221003, Uttar Pradesh
Sh. Sharma
School of Biomedical Engineering at Indian Institute of Technology (BHU)
India
Varanasi-221003, Uttar Pradesh
India
Varanasi-221003, Uttar Pradesh
N. Sharma
School of Biomedical Engineering at Indian Institute of Technology (BHU)
India
Varanasi-221003, Uttar Pradesh
India
Varanasi-221003, Uttar Pradesh
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Review
For citations:
Sharan T.S., Sharma Sh., Sharma N. DENOISING AND SPIKE REMOVAL FROM RAMAN SPECTRA USING DOUBLE DENSITY DUAL-TREE COMPLEX WAVELET TRANSFORM. Zhurnal Prikladnoii Spektroskopii. 2021;88(1):129-136.
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