数据采集
通用串口总线
小波
信号(编程语言)
计算机科学
噪音(视频)
信噪比(成像)
小波变换
理论(学习稳定性)
计算机硬件
电子工程
人工智能
工程类
软件
电信
机器学习
图像(数学)
程序设计语言
操作系统
作者
Juan Meng,Hong Li,Yanxiong Wu,Zhiming Han
标识
DOI:10.1109/iscit.2016.7751606
摘要
It is of great significance to acquire seismic signal accurately in seismic observation and research. A seismic data acquisition system based on high-precision data acquisition card NI USB-4432 and LabVIEW platform is designed and implemented. Firstly, the seismic signal is modulated by the front-end conditioning circuit composed of AD620 and MAX292, then, it is obtained and analyzed by data acquisition system based on USB-4432 and LabVIEW. To improve the signal quality and promote the signal-to-noise ratio (SNR), an improved wavelet threshold de-noising algorithm is proposed, which can de-noise adaptively according to the intensity of the collected signal. Practical test results show that, the designed system characterizes high stability, can effectively improve the SNR, and possesses a higher applied value.
科研通智能强力驱动
Strongly Powered by AbleSci AI