A New Wavelet Threshold Determination Method Considering Interscale Correlation in Signal Denoising
Joint Authors
Yang, Qiliang
Li, Juelong
Xing, Jianchun
He, Can
Wang, Ronghao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Due to simple calculation and good denoising effect, wavelet threshold denoising method has been widely used in signal denoising.
In this method, the threshold is an important parameter that affects the denoising effect.
In order to improve the denoising effect of the existing methods, a new threshold considering interscale correlation is presented.
Firstly, a new correlation index is proposed based on the propagation characteristics of the wavelet coefficients.
Then, a threshold determination strategy is obtained using the new index.
At the end of the paper, a simulation experiment is given to verify the effectiveness of the proposed method.
In the experiment, four benchmark signals are used as test signals.
Simulation results show that the proposed method can achieve a good denoising effect under various signal types, noise intensities, and thresholding functions.
American Psychological Association (APA)
He, Can& Xing, Jianchun& Li, Juelong& Yang, Qiliang& Wang, Ronghao. 2015. A New Wavelet Threshold Determination Method Considering Interscale Correlation in Signal Denoising. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073396
Modern Language Association (MLA)
He, Can…[et al.]. A New Wavelet Threshold Determination Method Considering Interscale Correlation in Signal Denoising. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073396
American Medical Association (AMA)
He, Can& Xing, Jianchun& Li, Juelong& Yang, Qiliang& Wang, Ronghao. A New Wavelet Threshold Determination Method Considering Interscale Correlation in Signal Denoising. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073396
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073396