摘要
声波信号时延的准确估计是实现强噪声环境下声学法高精度测温的关键。介绍了声学测温中基于互相关函数、人工神经网络和小波变换等几种典型的信号时延估计方法,对这3种时延估计方法的实现原理分别进行了论述,分析比较了它们的优缺点,相比于其他两种方法,小波变换技术更适合于强噪声环境下的声波信号的时延估计。
Precisely estimated time delay of acoustic wave signal is very important to implementing the most accurately measurement of temperature using acoustical method in the strong noise environment. This paper gave an brief introduction about some typical time delay estimation methods based on Cross-Correlation Function and Artificial Neural Network and Wavelet Transform theory, and respectively discussed the implementation theories of those three time delay estimation methods, analyzed and compared their advantages and disadvantages, compared to other two methods.Wave Transform technology is more fit for estimating the acoustic signal’s time delay in the strong noise environment.
出处
《沈阳航空工业学院学报》
2005年第2期45-48,共4页
Journal of Shenyang Institute of Aeronautical Engineering
关键词
时延估计
互相关
人工神经网络
小波变换
强噪声
Time delay estimation
Cross-Correlation Function
Artificial Neural Network
Wavelet Transform
Strong noise
