基于FPGA的Sobel边缘检测应用

针对目前数字图像处理速度慢的问题,提出了一种基于FPGA器件的Sobel边缘检测实现方案。Sobel边缘检测分别在FPGA和MATLAB上仿真实现,仿真结果表明,该方案可以大幅提高Sobel边缘检测的速度,并且获得了很好的边缘检测效果。最后列举了一个基于FPGA器件的Sobel边缘检测的应用实例。

An Intelligent Wireless Sensor Network Temperature Acquisition System with an FPGA

The use of FPGAs in the design of wireless sensor networks can improve the processing system performance so as to develop sensor nodes with powerful embedded processor. In fact, FPGA has a super-parallel processing capacity in data processing and its use and configuration is flexible. This allows intensive digital signal processing tasks like Fast Fourier Transforms to be implemented on the sensor node and this can even support intelligent applications and new security algorithms. This paper presents a wireless sensor network system that monitors and visualizes periodically the environment temperature. The proposed system consists of a base station node based on an FPGA DE2-70 and five sensor nodes having the architecture of the System-on-Chip CC2430.

基于SOPC和Nios Ⅱ的一种数码相框设计

主要介绍了一种在Altera DE 2平台上的数码相框的实现方案。基于μC/OSII实时操作系统实现多任务管理运行模式,采用Nios Ⅱ 32位处理器作为LED显示屏控制系统的核心。使用SOPC Builder软件定制集成IP核,通过外扩存储设备实现数据的海量存储,解决了FPGA内部资源相对不足的问题。同时,合理组织数据存储方式,降低了数据处理和控制系统的复杂度。讨论了NiosII软核处理器设计过程,通过NiosⅡ控制用户自定义模块以乒乓操作的方式实现对硬盘视频数据与两片内存间的DMA传输。FPGA作为整个系统的控制核心,它负责对采集到的图像数据进行汇总,并对整个系统进行智能控制。结果证明,该系统操作简单,工作稳定可靠,快速高效,具有广阔的应用前景。