M estimation is a kind of robust estimator which is used widely in signal filtering.
估计器是一种广泛应用于信号滤波的稳健性估计器。
Robust m estimation is widely used for its robustness and simple calculation procedure.
抗差m估计是使用最广泛、计算较简明的抗差估计法。
Thus, the window spectrum estimation technique provides more effective model validation than the traditional back-test m.
为将基于窗谱估计的模型验证技术应用于金融时间序列领域，以解决金融时间序列模型的设定正确性。
Compared with traditional optical flow and m estimation methods, the proposed algorithm only calculates in the DC domain and does not iterate, so it can segment almost in real time.
与传统光流法、M估计法比较，该算法只在压缩域上进行，不需迭代，具较强实时性。
Following is an analytical expression to calculate the BER of M-QAM under Rayleigh channel when channel estimation error exists.
提出了计算瑞利信道下存在信道估计误差时m -QAM的误比特率的解析表达式。
The method got global motion parameters by local motion vectors through quick M-robust estimation; these parameters are filtered to remove stochastic motion noise.
采用新的快速M鲁棒估计法获得摄像机全局运动参数集；滤波该参数集滤除随机抖动带来的运动噪声。
Based on joint time and frequency offset estimation, a reliable signal detection scheme is obtained by modulated pilot symbols using an m-sequence.
方案利用时频联合估计来得到可靠的信号检测，并从导频符号估计时间和频率偏移。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
In this paper, we introduce the concepts of robust statistics and the robust method of M-estimation.
本文介绍了稳健统计的概念和M估计的稳健方法。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
The introduction of indentation decreases the dispersibility and increases m value, with the experiment result in agreement with the estimation.
压痕的引入降低了结果的分散性，提高了材料的韦伯模数m值；热循环疲劳寿命的实验结果与预测值相符合。
The introduction of indentation decreases the dispersibility and increases m value, with the experiment result in agreement with the estimation.
压痕的引入降低了结果的分散性，提高了材料的韦伯模数m值；热循环疲劳寿命的实验结果与预测值相符合。
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