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20182025
most citedComparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants

2 citations · 2 across the 3 of their papers we have counts for

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eess.SP2018★ 2 cited

Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants

Pavel Kharyuk, Dmitry Nazarenko, Ivan Oseledets

Fourier-transform infra-red (FTIR) spectra of samples from 7 plant species were used to explore the influence of preprocessing and feature extraction on efficiency of machine learn…