activity
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

collaborators
Showing 2018Show all

2 papers · 1 filter

math.NA2018

Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions

Pavel Kharyuk, Ivan Oseledets

This work is devoted to elaboration on the idea to use block term decomposition for group data analysis and to raise the possibility of modelling group activity with (Lr, 1) and Tu…

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…