TY  - JOUR
AU  - Pukenas, K.
PY  - 2011/03/07
Y2  - 2025/01/02
TI  - Three-Mode Biomedical Signal Denoising in the Local Phase Space based on a Tensor Approach
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 109
IS  - 3
SE  - 
DO  - 10.5755/j01.eee.109.3.169
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/169
SP  - 49-52
AB  - In this research, an improved local projection noise reduction approach with three-mode model of neighborhood is proposed. Firstly, one dimensional time series are embedded into a high dimensional phase space. Secondly, the neighborhood tensor of each reference no overlapping window with several consecutive vectors of reconstructed phase-space is computed rather than neighborhood matrix of each separate vector. Lastly, with the suggested model a higher order singular value decomposition (HOSVD) is performed on the neighborhood tensors to split the three mode data into two orthogonal subspaces: the signal and noise subspaces. Throughout the experiment, the effectiveness of the proposed method is validated with a noisy simulated data — the x component of Rossler system and real biomedical signal contaminated with additive white Gaussian noise. Ill. 3, bibl. 14 (in English; abstracts in English and Lithuanian).<p><a href="http://dx.doi.org/10.5755/j01.eee.109.3.169">http://dx.doi.org/10.5755/j01.eee.109.3.169</a></p>
ER  -