Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing
- https://doi.org/10.2991/iccsee.2013.630How to use a DOI?
- local mean decomposition, SVD, telemetry, vibration signal processing, denoising
To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing, a new method combined with singular value decomposition (SVD) denosing was proposed in this work. SVD is applied to denoise the observed signal, and then the signal decompose to series product functions (PF) by LMD, meanwhile, SVD is applied to denoise the PF and sum the PF to LMD again. This method can suppress the noise effect to attain high precision PF for time-frequency analysis. Simulation signal and telemetry vibration signal processing results show the effectiveness of the method.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhenxing LI AU - Weixiao DAI PY - 2013/03 DA - 2013/03 TI - Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2519 EP - 2523 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.630 DO - https://doi.org/10.2991/iccsee.2013.630 ID - LI2013/03 ER -