Wavelets technology and wavelet packages technology for the ultrasonic testing signal of some aeroengine . turbine vane and some aeroplane main undercarriage wheel - hub axes are researched 本文研究了某型航空发动机压气机叶片和某型飞机主起落架轮毂轴套超声检测信号的小波分析和小波包分析技术。
The most difficult task in the testing is the processing and analyzing of the signal . just making use of the traditional analyzing method of eddy current impedance information is not enough 用涡流法对它进行检测的最大难度在于检测信号的处理及分析，仅仅利用涡流阻抗的信息传统分析方法是不够的。
But now the field is finite that wavelet analyses is used in the ultrasonic testing signal processing , and the problem of selecting the best wavelet did n ' t be considered in the application of wavelet 但目前小波分析处理超声检测信号的应用领域还很有限，并且应用过程中没有考虑最优小波基的选取问题。
In designing leaky magnetic flux detecting system of working pipeline , research on compression method of detecting signals is one key problem . and it will directly influent the equipment detecting efficiency 检测信号压缩方法的研究是在役管线漏磁检测系统设计开发的重点之一，它将直接影响到设备的检测效率。
The algorithm is applied to the actually measured ultrasonic signals and the results show that it can enhance the flaw components of detected signals efficiently and increase the snr significantly 实测超声信号两级自适应滤波结果表明：两级自适应滤波算法能有效增强超声检测信号中的缺陷信号成分，显著提高信噪比。
The blotting detection showed : the pcr detection on 35s and nos is correct , while when the gms content decrease the detection signal weakened . so this method was not fit to be applied in market detection 杂交试验证明pcr扩增的35s启动子和nos终止子为特异性扩增，当材料转基因含量降低时，检测信号则明显降低。
Experiments showed that the methods improved signal - to - noise ratio and testing sensitivity greatly , and met the requirement of real - time testing because of the simplicity of the signal processing program 经实验验证，这些方法大大提高了检测信号的信噪比和装置的检测灵敏度，而且信号处理程序简单，满足实时检测的要求。
4 . the wideband active signal detector is presented and simulation is given . the result proves this detector is efficient , and that non - rectangle enveloped hfm signal is the optimal detection signal 给出了宽带主动信号检测器的形式，并进行了仿真研究，证明宽带检测器的有效性，同时验证了非矩形包络双曲调频信号为最佳检测信号。
For the sake of overcoming the insufficiency of the traditional wavelet transformation , a kind of self - adopting wavelet transformation noise reduction method using the sample interrelation to detect the signal features had been put forward 摘要为了克服传统小波变换的不足，提出了一种用样本相关性检测信号特征的自适应小波变换降噪方法。
In this article we use a bp neural network to classify the eddy current signal and its result is also presented , which indicate that artificial neural network has vast potential in eddy current signal processing 本文选用基于误差反向传播( bp )算法的神经网络对信号分类，并给出分类结果，表明了神经网络在涡流材质检测信号处理中应用的巨大潜力。
