摘要
平面变换技术是一种非常有效的脉冲分选方法,其关键技术包括在显示平面上的特征曲线搜索和特征曲线识别。对于特征曲线搜索,传统依靠人工的做法不但费时费力还限制了脉冲分选的自动实现;而对于特征曲线识别,目前只有定性的描述而没有具体的方法。为了克服人工搜索特征曲线的缺点并实现特征曲线有效识别,本文分析了平面变换后脉冲点的特征,设计了特征曲线的自动搜索方法,给出了特征曲线的识别方法。特征曲线的自动搜索方法适用于直线和曲线的自动搜索,且不依赖于初始脉冲点的选择,特征曲线的识别方法实用有效,最终实现了脉冲分选自动进行。仿真实验说明了方法的有效性。
Plane transformation technique is an effective algorithm in deinterleaving pulses. The key technique contains two aspects： characteristic curve searching and recognizing. For characteristic curve searching, the traditional method relys on artificial search, which takes time and limits automatic operation. For characteristic curve recognizing, there is only initial description and no executive solution. Considering the disadvantages mentioned above, pulse points＇ features are studied, and automatic algorithms are designed to select characteristic curves. Moreover, recognizing rules are presented for different types. The searching algorithm, which does not rely on the selection of intial pulse, is applicable to lines and curves, and the recognizing algorithm is also practical and effective. Therefore, automatic deinterleaving pulses can be realized. Simulations testify the efficiency of the algorithm.
出处
《数据采集与处理》
CSCD
北大核心
2012年第4期495-500,共6页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(50323005)资助项目
关键词
脉冲分选
平面变换
脉冲点
特征曲线搜索
特征曲线识别
deinterleaving pulses
plane transformation
pulse point
characteristic curve searching
characteristic curve recognizing
