摘要
本文分析比较了小波阈值降噪方法中的几种阈值函数的特点,针对传统的硬阈值函数和软阈值函数存在的不足,提出了一种改进的软阈值降噪方法。该方法滤波之后得到的小波系数具有连续性好,准确率高,易于重构等优点,且重构后的降噪效果比一般的阈值法降噪效果更好。仿真结果表明,其降噪效果相对于一般的阈值降噪法有明显的改进。
The article introduces the theory of wavelet threshold de-noising , and analyzes and compares several functions of wavelet threshold de-noising method. In view of the defects of traditional hard threshold function and the soft threshold function, proposes an improved soft threshold de-noising method. After filtration, the wavelet coefficient is good continuity, high accuracy,and easy to reconstruet.After reconstruction,the threshold de-noising effect is better than the general threshold de-noising effect.Compared to the effect of general threshold de-noising method ,The simulation result shows that the effect of the threshold de-noising method is obvious improved.
出处
《科技视界》
2014年第25期62-63,共2页
Science & Technology Vision
基金
湖南人文科技学院青年基金项目"基于小波变换的自适应滤波噪声抵消技术的研究"(2011QN16)
关键词
小波分析
阈值函数
降噪
仿真
Wavelet analysis
Threshold function
De-noising
Simulation
