电力系统保护与控制2016，Vol.44Issue(13)：55-60,6.DOI:10.7667/PSPC151358
基于稀疏表示的TQWT在低频振荡信号去噪中应用
Low frequency oscillating signals denoising based on TQWT via sparse representation
摘要
Abstract
In order to improve the denoising effect of low frequency oscillation signals and provide the accurate and reliable data for detection and analysis of low frequency oscillation signals,the denoising methodbased on tunable Q-factor wavelet transform via sparse representation is given on the analysis of tunableQ-factor wavelet transform and sparse representation theories. Firstly,the tunableQ-factor wavelet transform is adopted to perform the signal sparse decomposition for the noisy low frequency oscillation signals,and the initial wavelet coefficients are obtained;secondly, the BP denoising algorithm is used to optimize the obtained wavelet coefficients;lastly,the optimized wavelet coefficients are reconstructed,then the low frequency oscillation signal without noisy is obtained.After the computer simulation,the result demonstrates that this method is superior to the current widely used wavelet soft-threshold and hard-threshold in denoising effect and reliability.关键词
可调Q小波变换/稀疏表示/低频振荡信号/去噪Key words
tunable Q-factor wavelet transform/sparse representation/low frequency oscillation signals/denoising引用本文复制引用
高倩,陈晓英,孙丽颖..基于稀疏表示的TQWT在低频振荡信号去噪中应用[J].电力系统保护与控制,2016,44(13):55-60,6.基金项目
辽宁省高等学校优秀人才支持计划项目(LR2013028) （LR2013028）
