摘要
从信号处理的角度给出了小波变换的工程理解。小波变换可以看作从原始信号中不断抽取细节，最终只留下信号主干的过程。用小波变换对噪声材料粗晶奥氏体不锈钢中人工缺陷的超声Ａ型信号处理的结果表明，在对小波系数合理解释的情况下，小波变换能有效地提高信噪比。
From the signal processing point of view, perception of wavelet transform for engineers is given here. Wavelet transform is a process of keeping extracting details from primitive signals until only approximate is left. Ultrasonic A scan signals interrogating artificial defects in noisy material of coarse grain austenite stainless steel are analyzed by use of wavelet transform. The presented results show that wavelet transform affords an substantial technique to enhance signal to noise ratio of signals with serious noisy background, provided that appropriate insight into the wavelet coefficients.
出处
《宇航材料工艺》
CAS
CSCD
北大核心
1999年第3期27-33,共7页
Aerospace Materials & Technology
基金
北京市自然科学基金
关键词
超声波
无损评价
小波变换
粒晶材料
噪声材料
Ultrasonic,Nondestructive evaluation,Wavelet transform,Coarse grain,A scan,Digital signal processing,Signal to noise ratio
