基于FPGA的Harris算法移植以及资源预评估  

Harris Algorithm Transplantation and Resources Pre-assessment Based on FPGA

作　　者：李龙勋[1] 唐普英[1] 唐湘成[2] 刘怡[2] 黄自力[2] 

机构地区：[1]电子科技大学,四川成都611731 [2]西南技术物理研究所,四川成都610041

出　　处：《电视技术》2012年第23期193-196,共4页Video Engineering

摘　　要：在利用FPGA的并行处理能力应对高速数据和去做复杂的数据处理时,对一些较为复杂或者重复性工作模块多的情况下,算法资源就需要进行预评估。有效的资源预评估不仅可以在芯片选型上有益,还可以对程序有较详细的估计,在硬件不变的前提下能够选择更好的算法优化。着重在Harris算法在FPGA的实现以及在移植之前对其占用的FPGA资源进行预评估。Response to high-speed data and do complex data processing in the FPGA parallel processing capabilities, to cope with some of the more complex or repetitive tasks module, it is necessary to Pre-assessment algorithm resources. Resources Pre-assessment can not only be useful in the chip selection, but also be a more detailed estimate of the program to be able to choose a better algorithm optimization in the same premise hardware. This ar- ticle focuses on the Pre-assessment in the Harris Algorithm in the FPGA implementation and its FPGA resources occupied prior to transplantation.

关 键 词：资源预评估 FPGA HARRIS算法 

分 类 号：TN911.73[电子电信—通信与信息系统]