摘要
为了能够实现超声波管道机器人在线实时识别缺陷的要求,本文提出了一种板卡级处理器结构,采用FPGA和DSP并行处理超声波数据,并应用小波分析等方法对超声信号滤波以及其它信号处理。
To fulfill the task that the Intelligent Pig should recognize defects in the pipeline, this paper proposes a novel architecture that takes advantage of latest FPGA and DSP to process ultrasonic data traces. Wavelet and other algorithms are also implemented in this design to filter ultrasonic signal and other kinds of signal processing.
出处
《微计算机信息》
北大核心
2006年第05S期97-99,共3页
Control & Automation
基金
国家863计划海洋基金资助项目项目编号(2001AA602021)
