Application of Wavelet Analysis inSignal Singularity Detection

CHEN Zhi-hui; XIA Hong; WU Zhi-sheng; DENG Li-ping; HUANG Wei; PENG Min-jun; HUANG Hua

Volume 34 Issue 2

Apr. 2013

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Article Navigation > Nuclear Power Engineering > 2013 > 34(2): 62-67

CHEN Zhi-hui, XIA Hong, WU Zhi-sheng, DENG Li-ping, HUANG Wei, PENG Min-jun, HUANG Hua. Application of Wavelet Analysis inSignal Singularity Detection[J]. Nuclear Power Engineering, 2013, 34(2): 62-67.

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CHEN Zhi-hui, XIA Hong, WU Zhi-sheng, DENG Li-ping, HUANG Wei, PENG Min-jun, HUANG Hua. Application of Wavelet Analysis inSignal Singularity Detection[J]. Nuclear Power Engineering, 2013, 34(2): 62-67.

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Application of Wavelet Analysis inSignal Singularity Detection

1. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610041. China;
2. College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China

Received Date: 2011-11-24
Rev Recd Date: 2012-06-20

Available Online: 2025-03-08

Publish Date: 2013-04-25

Abstract

Abstract

The wavelet transformation can be used to determine the location of mutation of signals.However,further research discovered that the single sub-band algorithm improved from wavelet transformation could recognize the singular signal of the first type effectively,but it could not recognize the singular signal of second type.The reason of resulting this problem is that the improved algorithm did not transfer the signal smoothly.This paper proposed the improved single sub-band reconstruction algorithm,and resolved the issue of recognizing the transient signal of the second type by introducing transition functions.The effectiveness of this method has been proved by related experiments.
- Wavelet transform,
- Singular signal,
- Transition function

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