摘要
在小波去噪的方法中 ,应用最广泛的是Donoho的软阈值法 ,但由于其阈值的单一性 ,使它不能在每级尺度上将信号与噪声作最大分离。在此基础上引进的自适应阈值法可以将每一尺度上的噪声最大量的去除 ,保留有用信号 ,进一步提高信噪比 ,仿真实验表明 。
In the methods of wavelet denoising, Donoho's soft threshold value method is widely applied. Because of its single threshold value, it can't separate signal from noise completely in each step scale. In this thesis, adaptive threshold value method can eliminate noise fully in each step, save useful signals and improve the signal to noise ratio. Simulation experiments show this method can get better denoising effect.
出处
《制导与引信》
2003年第1期13-16,共4页
Guidance & Fuze
