【作者】 朱启兵； 刘杰； 李允公； 应怀樵；

【Author】 Zhu Qibing;Liu Jie;Li Yungong;Ying Huaiqiao;

【机构】 东北大学机械工程与自动化学院； 北京东方振动和噪声技术研究所；

【摘要】 本文在分析高斯噪声的二进小波变换特性基础上,提出了一种改进的二进小波变换去噪方法。该方法采用了一种新的阈值函数,克服了Donoho软阈值方法中估计小波系数与分解小波系数存在恒定偏差的缺陷。仿真结果表明,改进的二进小波去噪方法不仅可以有效地抑制信号奇异点处的Pseudo—Gibbs现象,而且消噪精度高于传统的软硬阈值方法。更多还原

【Abstract】 This paper presents a novel de-noising method via analyzing the dyadic wavelet transform characteristic of gauss noise.It overcomes the shortcoming that there is an invariable dispersion between the estimated wavelet coefficients and the decomposed wavelet coefficients of the soft-thresholding method.Simulation results indicate that the novel de-noising method based on dyadic wavelet transform suppresses the Pseudo-Gibbs phenomena near the singularities of the signal effectively,and the de-noising quality is better than Donoho’s hard and soft-thresholding methods更多还原