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Denoising and Spike Removal from Raman Spectra using Double Density Dual-Tree Complex Wavelet Transform

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Journal of Applied Spectroscopy Aims and scope

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.

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Authors and Affiliations

  1. School of Biomedical Engineering at Indian Institute of Technology (BHU), Varanasi-221003, Uttar Pradesh, India

    T. S. Sharan, Sh. Sharma & N. Sharma

Authors
  1. T. S. Sharan
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  2. Sh. Sharma
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  3. N. Sharma
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Correspondence to Sh. Sharma.

Additional information

Published in Zhurnal Prikladnoi Spektroskopii, Vol. 88, No. 1, pp. 129–136, January–February, 2021.

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Sharan, T.S., Sharma, S. & Sharma, N. Denoising and Spike Removal from Raman Spectra using Double Density Dual-Tree Complex Wavelet Transform. J Appl Spectrosc 88, 117–124 (2021). https://doi.org/10.1007/s10812-021-01149-9

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  • DOI: https://doi.org/10.1007/s10812-021-01149-9

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