Applied Computer Letters (ACL)

WAVELET THRESHOLD TRANSFORM AND EMPIRICAL MODE DECOMPOSITION JOINT DENOISING OF SIGNAL

June 8, 2018 Posted by In Applied Computer Letters (ACL)

ABSTRACT

 

WAVELET THRESHOLD TRANSFORM AND EMPIRICAL MODE DECOMPOSITION JOINT DENOISING OF SIGNAL

Journal: Applied Computer Letters (ACL)
Author: Bingkun Gao, Xingyue Cui, Li Zhang, Lingchuan Sun

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Doi:10.26480/acl.01.2017.17.19

Wavelet transforms and empirical mode decomposition are powerful tools for processing non-stationary and nonlinear signals, suitable for de-noising nuclear magnetic resonance logging echo signal. This paper introduces that signal reflect well exponential decay characteristics of echo signal after utilizing the wavelet transform to threshold processing the nuclear magnetic resonance logging echo signal, and reflect commendable adaptability after using the empirical mode decomposition dealing with the echo signal in logging. By taking advantage of processing logging echo signal through wavelet transform and empirical mode decomposition, not only can obtain higher signal-to-noise ratio compared with single method, but also get smoother signal.

Pages 17-19
Year 2017
Issue 1
Volume 1

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