计算机工程与应用2012，Vol.48Issue(13)：244-248,5.DOI:10.3778/j.issn.1002-8331.2012.13.052
双密度小波变换的自适应电能质量信号去噪
Adaptive power quality signal de-noising based on double-density discrete wavelet transform
曹世超 1张国勋1
作者信息
- 1. 邢台职业技术学院电气工程系,河北邢台054035
- 折叠
摘要
Abstract
In order to improve the quality of the de-noised power quality signal, an efficient adaptive power quality signal de-noising algorithm based on the Double-Density Discrete Wavelet Transform(DD DWT) is proposed. DD DWT has approximately shift invariance and can accurately describe the real characteristics of signals. Meanwhile, the Bivariate Shrinkage Function (BSF) considers the relationship of the inter-level and intra-level coefficients. So, BSF with local variance estimation is adopted to processing wavelet coefficients. Then the signals are synthesized using the wavelet coefficients processed. The experimental results indicate that, the proposed algorithm can remove the noise more efficiently and keep original power quality signal characters, and that the visual quality of the denoised signal is improved.关键词
双密度小波变换/双变量收缩函数/电能质量信号/信噪比Key words
Double-Density Discrete Wavelet Transform(DD DWT)/ Bivariate Shrinkage Function (BSF)/ power quality signal/ Signal Noise Rotio(SNR)分类
信息技术与安全科学引用本文复制引用
曹世超,张国勋..双密度小波变换的自适应电能质量信号去噪[J].计算机工程与应用,2012,48(13):244-248,5.
