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. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.