提出了一种基于UCOS和UCGUI的数字存储示波器的软件时序逻辑状态机实现技术,硬件上采用FPGA+ARM的
结构,充分利用FPGA在逻辑控制、高速信号采集方面的优势,以及ARM核心在LCD波形刷新、人机接口以及通信协议处
理的灵活性,在提高系统整体性能和可靠性的同时简化了系统的软件和硬件结构。(UCOS proposed based digital storage oscilloscope and UCGUI software sequential logic state machine technology, the use of FPGA+ ARM hardware
Structure, full use of the advantages of FPGA logic control, high-speed signal acquisition aspects, as well as ARM core in the LCD waveform refresh at the man-machine interface and communication protocols
Reasonable flexibility in improving overall system performance and reliability while simplifying the software and hardware architecture of the system.)
BP神经网络用于函数拟合与模式识别,研究生时的现代信号处理的作业,包括数据分析、绘图等等。( BP neural network function fitting and pattern recognition, Modern signal processing jobs when the graduate, Data analysis, plotting, etc..)