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A new adaptive line enhancer based on singular spectrum analysis

Sanei, S, Lee, TKM, Lee, TKM and Abolghasemi, V (2012) A new adaptive line enhancer based on singular spectrum analysis IEEE Transactions on Biomedical Engineering, 59 (2). pp. 428-434.

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Original adaptive line enhancer (ALE) is used for denoising periodic signals from white noise. ALE, however, relies mainly on second order similarity between the signal and its delayed version and is more effective when the signal is narrowband. A new ALE based on singular spectrum analysis (SSA) is proposed here. In this approach in the reconstruction stage of SSA, the eigentriples are adaptively selected (filtered) using the delayed version of the data. Unlike the conventional ALE where (second) order statistics are taken into account, here the full eigen-spectrum of the embedding matrix is exploited. Consequently, the system works for non-Gaussian noise and wideband periodic signals. By performing some experiments on synthetic signals it is demonstrated that the proposed system is very effective for separation of biomedical data, which often have some periodic or quasi-periodic components, such as EMG affected by ECG artefacts. This data are examined here. © 2006 IEEE.

Item Type: Article
Authors :
Sanei, S
Lee, TKM
Lee, TKM
Abolghasemi, V
Date : February 2012
DOI : 10.1109/TBME.2011.2173936
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:26
Last Modified : 31 Oct 2017 14:55

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