摘要
提出一种新的基于盲源分离的超声信号去噪方法。为了验证去噪方法的有效性,应用此方法处理了仿真的超声信号,并与小波去噪的效果进行了比较。实验结果表明:该去噪方法能极大提高超声信号的信噪比,且其效果能与小波去噪方法相媲美,其特点是通过超声信号和噪声信号的盲源分离实现噪声消除。
A new denoising method for ultrasonic signal based on blind source separation（BSS） is proposed. It is applied to denoising the simulated ultrasonic signals processing and compared with wavelet denoising method. Experimental results show that signal noise ratio of ultrasonic signal can be improved greatly and its denoising performance is very near to wavelet denoising method. The denoising method is realized by blind source separation of the ultrasonic signal and noise.
出处
《传感器与微系统》
CSCD
北大核心
2006年第7期36-39,共4页
Transducer and Microsystem Technologies
关键词
超声检测
无损评估
盲源分离
独立分量分析
ultrasonic testing （UT）
nondestructive evaluation （ NDE ）
blind source separation （ BSS ）
independent component analysis（ICA）
