Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

One Dimensional Signal Denoising Based on Wavelet Transform and Threshold Theory

Authors
Jinming Fu, Yuanfan Li
Corresponding Author
Jinming Fu
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.54How to use a DOI?
Keywords
Wavelet analysis, De-noising, multiresolution analysis, Thresholding Value
Abstract
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.

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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.54How to use a DOI?
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  -