主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by

建立了信号从扩频、加干扰信号到解扩、求误码率的仿真模型系统。 经过小波镜像处理的与理想的状况的比较。-Established from the spread spectrum signal, plus interference signal to the de-spread, and the bit error rate system simulation model. After wavelet image processing and comparison of the ideal si

this paper contains interference mitigation using wavelet