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1)  Recognition vector
识别向量
1.
A new recognition vector of sample points was defined,and a novel recognition vector matrix was constructed based on the recognition vector of sample points;last the similarity of the corresponding sub-curves was calculated by comparing the recognition vector matrix.
基于关键特征点进行粗匹配,根据精度要求设定最小面积阈值在子曲线上重新采样点,定义了一种新的采样点的识别向量,并根据子曲线上采样点的识别向量构造了新的识别向量矩阵,最后根据识别向量矩阵的差异度度量子曲线的相似性。
2)  eigenvector recognition
特征向量识别
1.
A blind DBF algorithm for environments of high SNR (ratio of signal to noise) and low SIR (ratio of signal to interfere) is proposed, based on the technology of eigenvector recognition.
本文针对通信双方是合作方这一特点,利用信号的周期平稳性,提出了一种能够适应于高信噪比、低信干比环境的盲自适应波束形成算法,采用了特征向量识别的方法,较好地解决了CAB、CCAB等方法存在的主特征向量误判的问题。
3)  recognition vector matrix
识别向量矩阵
1.
A new recognition vector of sample points was defined,and a novel recognition vector matrix was constructed based on the recognition vector of sample points;last the similarity of the corresponding sub-curves was calculated by comparing the recognition vector matrix.
基于关键特征点进行粗匹配,根据精度要求设定最小面积阈值在子曲线上重新采样点,定义了一种新的采样点的识别向量,并根据子曲线上采样点的识别向量构造了新的识别向量矩阵,最后根据识别向量矩阵的差异度度量子曲线的相似性。
4)  targets identification
靶向识别
5)  orientation identification
方向识别
6)  lengthways-comparison scheme
纵向识别
1.
A new principle of single-phase-earth fault detection named lengthways-comparison scheme realized on a distribution automation platform is presented.
提出在单条馈线内识别单相接地故障区段的纵向识别法。
补充资料:识别
1.辨认﹔鉴别。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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