摘要
为了有效提高对时频图像微弱信号的识别精确度,基于DSP设计时频图像微弱信号的识别系统。提出当前微弱信号图像识别系统的整体结构框架,包括DSP和FPGA之间的接口硬件设计模式,确定当前时频图像的输入接口设计方案。利用相机积分成像,输出图像数据,以有效信号作为控制信号,对当前图像数据信号进行处理并发送DSP,由DSP完成当前信号数据连通性分析,实现当前微弱信号识别。实验数据证明,应用基于DSP时频微弱信号处理系统后,节点信号识别率提高22%,边际信号识别率提高27%,可以有效提高识别精度。
A DSP⁃based weak signal recognition system for time⁃frequency image was designed to improve the recognition accuracy of weak signal for time⁃frequency image.The overall framework of the current weak signal recognition system for image is proposed,including the hardware design mode of interface between DSP and FPGA.In the recognition system,the input interface design scheme for the current time⁃frequency image is determined.The camera integral imaging is adopted to output the image data and the effective signal is taken as the control signal to process the current image data signal and sent it to DSP,then the connectivity analysis on the current signal data is completed with DSP to realize the recognition of current weak signal.The experimental data show that after the application of time⁃frequency weak signal processing system based on DSP,the node signal recognition rate is increased by 22%and the marginal signal recognition rate is increased by 27%,which means that the proposed signal recognition system can effectively improve the recognition accuracy.
作者
魏萌
吕廷勤
WEI Meng;LÜTingqin(College of Information Science and Technology,Zhengzhou Normal University,Zhengzhou 450044,China)
出处
《现代电子技术》
北大核心
2020年第1期59-62,共4页
Modern Electronics Technique
