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1)  Extended ECPSDF(EECPSDF) algorithm
扩展等相关峰综合鉴别函数算法
2)  Equal Correlation Peak Synthetic Discriminant Function(ECPSDF) algorithm
等相关峰综合鉴别函数算法
3)  ECPSDF
等相关峰综合鉴别函数(ECPSDF)
4)  MACESDF
最小平均相关能量综合鉴别函数(MACESDF)
5)  synthetic discriminant function
综合鉴别函数
1.
The synthetic discriminant function(SDF) algorithm based on binary joint transform correlation is introduced.
介绍一种基于二值化联合变换相关的综合鉴别函数算法,用等相关峰及Gram-schmidt展开获得的综合鉴别函数对迭代算法进一步优化,获得了适用于二值化联合变换相关的综合鉴别函数。
2.
The principle and method of LVQ network applied for the post-processing of correlated peak signals based on synthetic discriminant function are described.
阐述了LVQ网络对基于类间综合鉴别函数得到的相关峰进行处理的原理和方法,并进行计算机模拟。
6)  synthetic discriminant function(SDF)
综合鉴别函数
1.
The synthetic discriminant function(SDF)was combined with K-L transform as a classical concept to effectively expand the dynamic range of single matched filter.
它融合了综合鉴别函数和K-L变换的经典思想,改善了单个匹配滤波器动态范围太小的状况,对图像尺度变换有较宽的适应范围,从而提高了光学模式识别系统的识别效率。
2.
The algorithm extends the application of Synthetic Discriminant Function(SDF) to distortion invariant recognition efficiently by utilizing good discrimination capacity of the AMPOF and employs both amplitude and phase information of Fourier transforms of training images to construct a series of sub filters, and to get a synthetic filter by weighted sum of sub filters.
该算法充分利用振幅调制纯相位滤波器区分能力强的优点,结合综合鉴别函数方法,拓展了综合鉴别函数(SDF)在畸变不变模式识别领域的应用。
补充资料:点扩展函数
      见光学传递函数。
  

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