An Denoising Method Based on Analysis K-SVD and Disagreement Segment and Its Application on EMI Signal
Wen-Ru Gong, Hong-Yi Li, Di Zhao
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.75How to use a DOI?
- analysis K-SVD; EMI signal; disagreement-segment
- Sparse representation plays an important role in signal processing. Recently, the analysis sparse representation has been attracting more and more attention. In this paper, an improved analysis K-SVD denoising algorithm based on disagreement-segment is proposed. A signal is first divided into small redundant segments, and then the signal can be denoised by the analysis K-SVD algorithm. Considering the gap between the local processing and the global signal recovery, we define a disagreement-segment as the difference between the intermediate locally denoised segment and its corresponding part in the final denoised signal. By adding the disagreement-segment to the analysis K-SVD algorithm, the denoising effect of the analysis K-SVD algorithm has a significant improvement. In addition, the experimental results show that the proposed method outperforms the analysis K-SVD algorithm and other advanced methods.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wen-Ru Gong AU - Hong-Yi Li AU - Di Zhao PY - 2016/12 DA - 2016/12 TI - An Denoising Method Based on Analysis K-SVD and Disagreement Segment and Its Application on EMI Signal BT - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.75 DO - https://doi.org/10.2991/icwcsn-16.2017.75 ID - Gong2016/12 ER -