摘要
基于信号和噪声在小波变换下表现出的截然不同的性质，提出了一种非线性的消噪方法．该方法与传统的消噪方法不同，它并非等价于信号通过一个低通或带通滤波器，而是根据信号与噪声的奇异点性质不同进行滤波，因而在改善信噪比的同时，又保持相当高的时间分辨率．
Based on completely different properties of the signal and noise in wavelet transform, a nonlinear noise eliminating method is proposed. Distinguished from the traditional method, it is not equivalent to letting the signal pass a low pass or a bandpass filter, but carrying out the filtering on the basis of the different properties of the singularity of the signal and noise. Therefore, the method proposed not only improves the signal to noise ratio (SNR) but also makes the time resolution remain high. Theoretical analysis and experimental results show that the method is particularly suitable for weak signal detection and positioning.
出处
《华中理工大学学报》
CSCD
北大核心
1997年第2期1-4,共4页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金
关键词
小波变换
信号检测
噪声
滤波器
wavelet transform
singularity
elimination of noise in signal
signal detection
