One Dimensional Signal Denoising Based on Wavelet Transform and Threshold Theory
Jinming Fu, Yuanfan Li
Available Online January 2017.
- https://doi.org/10.2991/icefs-17.2017.54How to use a DOI?
- Wavelet analysis, De-noising, multiresolution analysis, Thresholding Value
- Wavelet analysis plays an important role in signal processing because of its good time-frequency locality and multi-resolution analysis performance. Based on wavelet analysis in one-dimensional signal denoising are studied, and the principle of threshold and threshold function of wavelet threshold denoising, the selection of wavelet base, decomposition layers and other related issues, and the relevant numerical experiments with Matlab software.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jinming Fu AU - Yuanfan Li PY - 2017/01 DA - 2017/01 TI - One Dimensional Signal Denoising Based on Wavelet Transform and Threshold Theory BT - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017) PB - Atlantis Press SP - 420 EP - 423 SN - 2352-5428 UR - https://doi.org/10.2991/icefs-17.2017.54 DO - https://doi.org/10.2991/icefs-17.2017.54 ID - Fu2017/01 ER -