相位误差的粗估计采用离散多项式相位变换（DPT）方法，而误差精估计则基于RELAX类算法。
The estimate of QPEs is roughly obtained by use of the Discrete Polynomial-Phase Transform(DPT), then it is refined by a RELAX-based parametric estimation method.
再通过计算曲线的统计特性作为图像间待匹配特征，并由信号相关的度量方法粗估计出图像间全局仿射变换参数。
After calculating the statistical information of curves as matching features, we can evaluate the coarse affine transformation parameters using simple correlation measure.
该方法使用伪随机(PN)序列时域相关进行信道粗估计，并在一个OFDM块内进行线性内插得到整个OFDM块内的信道细估计。
Coarse channel estimates are based on a time-domain correlation of a pseudo-random number (PN) sequence with linear interpolation for the fine channel estimates over an OFDM block.
提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法，从理论和实验上证明了该方法的可行性。
A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.
提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法，从理论和实验上证明了该方法的可行性。
A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.
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