计算结果表明：变形统计值与变形监测值吻合较好，统计复相关系数较大，估计标准误差较小。
The calculation results show that the statistic and monitoring value are fairly identical, multiple correlation coefficients bigger and estimated standard error smaller.
统计量的标准误差表示该统计量作为总体参数的估计的准确程度。
The standard error of a statistic provides an indication of how accurate an estimate it is of the population parameter .
我们还将尝试改进逐路径估计量，以求减小标准误差。
We also try to improve pathwise estimator in order to reduce standard error.
若以均方误差作度量估计优劣的标准，模拟显示当误差相关程度较高时，新估计优于文献中常见的矩估计。
Our simulation results show that for high errors correlation case, new estimate is superior over the moment estimate appeared in literature under mean square error criterion.
仿真和实际数据处理的结果表明，该方法在参数估计误差和标准差方面明显优于其它算法。
The results of simulated and real data procession show that the proposed method favorably compares to other ones as to the parameter estimation error and its standard deviation.
并且以信道估计均方误差(MSE)作为评估标准，从理论上证明了所提算法的有效性。
Taking the channel estimation mean square error (MSE) as the performance evaluation indicator, the thesis verifies the efficiency of the proposed scheme from the theoretical aspect.
计算结果表明：变形统计值与变形监测值吻合较好，统计复相关系数较大，估计标准误差较小。
This paper achieves noise reduction by using wavelet packet transform, semisoft shrinkage function, Donoho standard deviation estimate and threshold obtain based on statistics.
计算结果表明：变形统计值与变形监测值吻合较好，统计复相关系数较大，估计标准误差较小。
This paper achieves noise reduction by using wavelet packet transform, semisoft shrinkage function, Donoho standard deviation estimate and threshold obtain based on statistics.
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