摘要
将正交小波降噪的阈值处理方法引入到非正交小波降噪过程中,提出了Hilbert空间中基于框架的非正交小波阈值降噪方法。该方法由于对尺度和时间的冗余抽样,所以能将信号尺度特征和锐变位置更精确定位,成为信号降噪处理的一个有效途径。
Using the threshold processing method of orthogonal wavelet in non-orthogonal wavelet denoising process, we proposed the non-orthogonal wavelet thresholding denoising algorithm based on frame theory in Hilbert spaces, and because the redundancy sample of the scale and time, we believe the algorithm can get a more accurate localization to the signal＇s scale characterization and the position of acute change, and it will be an effect way of one signal＇s denoising process.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第11期92-94,共3页
Microelectronics & Computer
关键词
框架理论
非正交小波
降噪
frame theory
non-orthogonal wavelet
denoising
