2009Modern Electronics TechniqueRequires access

Power Signal De-noising Based on Wavelet Analysis

Lin Yu

Open publisher page 0 citations

Abstract

Power signal of some equipment is typically non-stationary and nonlinear,inevitably,there are kinds of yawp which need being disposed.The time frequency character of wavelet transform is perfect,and it is an effective tool of analyzing non-stationary signal.Threshold de-noising based on wavelet transform is introduced,in virtue of LabVIEW plate,by simulating test,soft threshold de-noising is compared to hard threshold de-noising,and different wavelet function are selected for de-noising,the validity of threshold de-noising based on wavelet transform is proved in the process of power signal de-noising.The electrical power signal by data acquisition card in the LabVIEW developing environment,the wavelet function in Matlab is called to make the study of de-noising analysis.The signal de-noising process and testing platform based on wavelet analysis theory and virtual equipment is completed.This study idea could found the base of pushing the de-noising process effect of all kinds of signal.

About this research paper

What this paper is about

Power signal of some equipment is typically non-stationary and nonlinear,inevitably,there are kinds of yawp which need being disposed.The time frequency character of wavelet transform is perfect,and it is an effective tool of analyzing non-stationary signal.Threshold de-noising based on wavelet transform is introduced,in virtue of LabVIEW plate,by simulating test,soft threshold de-noising is compared to hard threshold de-noising,and different wavelet function are selected for de-noising,the validity of threshold de-noising based on wavelet transform is proved in the process of power signal de-noising.The electrical power signal by data acquisition card in the LabVIEW developing environment,the wavelet function in Matlab is called to make the study of de-noising analysis.The signal de-noising process and testing platform based on wavelet analysis theory and virtual equipment is completed.This study idea could found the base of pushing the de-noising process effect of all kinds of signal.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Power signal of some equipment is typically non-stationary and nonlinear,inevitably,there are kinds of yawp which need being disposed.The time frequency character of wavelet transform is perfect,and it is an effective tool of analyzing non-stationary signal.Threshold de-noising based on wavelet transform is introduced,in virtue of LabVIEW plate,by simulating test,soft threshold de-noising is compared to hard threshold de-noising,and different wavelet function are selected for de-noising,the validity of threshold de-noising based on wavelet transform is proved in the process of power signal de-noising.The electrical power signal by data acquisition card in the LabVIEW developing environment,the wavelet function in Matlab is called to make the study of de-noising analysis.The signal de-noising process and testing platform based on wavelet analysis theory and virtual equipment is completed.This study idea could found the base of pushing the de-noising process effect of all kinds of signal.

Key concepts: Wavelet, Wavelet transform, Stationary wavelet transform, Second-generation wavelet transform, Wavelet packet decomposition, Lifting scheme, SIGNAL (programming language), Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Power Signal De-noising Based on Wavelet Analysis — Research Paper | ScholarLens