Three-Mode Biomedical Signal Denoising in the Local Phase Space based on a Tensor Approach

Authors

  • K. Pukenas

DOI:

https://doi.org/10.5755/j01.eee.109.3.169

Abstract

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).

http://dx.doi.org/10.5755/j01.eee.109.3.169

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Published

2011-03-07

How to Cite

Pukenas, K. (2011). Three-Mode Biomedical Signal Denoising in the Local Phase Space based on a Tensor Approach. Elektronika Ir Elektrotechnika, 109(3), 49-52. https://doi.org/10.5755/j01.eee.109.3.169

Issue

Vol. 109 No. 3 (2011)

Section

SIGNAL TECHNOLOGY

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