摘要
文章指出了小波变换去噪方法与一般意义下去噪方法的不同,讨论了小波变换算法的优越性,进而提出了利用小波算法对含噪信号进行逐层分析与重构,将原始信号分解为不同频带,滤除不需要的频带,最后用Mallat重建算法得到去噪后的信号,既有效地滤除了信号噪声,又保留了信号的突变性。大量的实验结果和进一步的分析表明。
This paper points out the differences between the denoising methods using wavelet transform and the normal ones and discusses the superiority in wavelet transform algorithm Meanwhile, it brings forward that the signal with noise should be analyzed in each layer and made reconstructions by wavelet transform algorithm Thus, it can separate the original signal into signals with different bandwidth and filter the unnecessary bandwidth signals At last, the signal with no noise can be achieved through Mallat's reconstruction algorithm, which can filter the signal with noise efficiently while holding the characteristics of the original Many experiments and analyses show that it would make the system run more stably in the research on the denoising of dynamic system
出处
《电脑与信息技术》
2005年第2期29-32,共4页
Computer and Information Technology
