摘要
对奇异信号在小波变换下的奇异点特征进行分析，并将小波奇性检测运用于小波滤波，实现了奇异信号的时-频二维滤波，使滤除噪声的同时保留了信号的奇异点信息．
Singular point features are analyzed for singulax signals throgh wavelet analysis, and wavlet singular detection is applied to wavelet filtering to realize time-frequency two-dimension filtering. So that the singular point information is kept while the noise is filtered.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1999年第2期114-117,共4页
Journal of Harbin Institute of Technology
关键词
小波变换
奇异信号
小波奇性检测
小波滤波
Wavelet transformation
time-frequency local feature
local maximum
wavelet singularity detection
wavelet filtering
time-frequency two dimension filtering
