摘要
论文介绍了小波分析在检测信号处理中的应用,并通过对超声波的传播进行分析得到超声波信号的噪声产生原因,构建了含噪回波信号的数学模型。对原始信号采用小波分解重构降噪、硬阈值降噪、软阈值降噪三种方法进行信号处理,并对三种方法进行比较。
The application of wavelet analysis in the detection signal processing is described in this paper. The mathematical model of the echo signal with noise is built through analyzing the causes of ultrasonic signal noise. Three methods for signal processing are used to de-noise the original signal, which are wavelet decomposition and reconstruction, hard threshold and soft threshold. And three methods are compared.
出处
《机电产品开发与创新》
2015年第1期4-6,共3页
Development & Innovation of Machinery & Electrical Products
基金
国家科技支撑计划课题(装备制造业工业设计创新技术服务平台研发及应用-2012BAH32F05)
