1) maximum likelihood deconvolution
极大似然反褶积
1.
The method of the robustness seismic wavelet estimation using the maximum likelihood deconvolution are discussed in the paper.
利用极大似然反褶积提取鲁棒性地震子波的方法进行了研究,并讨论了极大似然反褶积的稳健性。
2.
Using digital simulator and synthetic seimgram, under the condition of ARMA wavelet parameters known in advance and the condition of sparse reflectivity and dense reflectivity, we have dealt with the solid property of the maximum likelihood deconvolution algorthm, and concluded that the higher the accuracy of the system parameters identified, the more accurate the reflectivity we get from MLD.
利用仿真数字随机发生器产生反射系数序列，在ＡＲＭＡ子波参数已知的条件下，利用人工合成记录，以稀疏状态下的反射系数和稠密状态下的反射系数对极大似然反褶积的稳健性进行了讨论，系统参数辨识的精度越高，反射系数序列的精度也就越高。
2) MLD
最大似然反褶积
3) maximum likelihood
极大似然
1.
Astronomical Images Blind Restoration and Reconstruction Based on the Maximum Likelihood;
基于极大似然原理的天文图像盲恢复与重建
2.
After analyzing the external loads and the stress of parts,we can calculate the distribution parameters through the methods of spline interpolation and maximum likelihood.
笔者在分析外载及零部件应力后,通过样条插值和极大似然等方法估算分布参数,以应力-强度的干涉模型得出各零部件可靠度,为估计接触网的工作能力状态或寿命提供了参考。
3.
And, based on the maximum likelihood and bootstrap methods,the evaluation of the maximum range is presented for the general model.
本文得到了液体弹道式导弹最大射程ｔ＊的精确解及算法，改进了原有的评定方法，并利用极大似然法及自助法给出了一般模型下的最大射程的评定方法，并给出了计算实例。
4) ARD
近似混响反褶积
5) maximum likelihood method
极大似然法
1.
Genetic analysis for restoring genes of wild-abortive type Indica hybrid rice by maximum likelihood method;
利用极大似然法分析野败型杂交籼稻恢复基因的遗传
2.
The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.
结果表明 ,用极大似然法研究含未焊透缺陷焊接接头的疲劳性能 ,减少了试验工作量和试验费用 ,而且试验数据可靠 ,极具推广价
3.
This algorithm combines the global search ability of genetic algorithm and local search ability of maximum likelihood method,which makes the hybrid genetic algorithm unaffected by the initial value assignment of maximum likelihood method,and solves the problem of the low convergence rate and low convergence precision of genetic algorithm.
该方法结合了遗传算法的全局寻优能力和极大似然法的局部寻优能力,使得混合遗传算法不受极大似然法初值选取的影响,同时也解决了遗传算法收敛速度慢和收敛精度较低的问题。
6) maximum likelihood
极大似然法
1.
The algorithm first builds the set of candidate targets using the measurements from multiple sensors in multiple sampling periods and estimates the initial states of candidate targets using the maximum likelihood method.
该算法利用多传感器多采样周期测量建立候选目标集,用极大似然法估计候选目标的状态;采用Hough变换建立参数空间直方图,并对参数空间直方图聚类实现航迹探测;建立目标初始方位角直方图和目标速度直方图,分别对两个直方图聚类实现目标探测;找出与目标相关的测量,利用这些测量估计目标的状态。
2.
In this paper,a novel robust BP neural network based on the maximum likelihood method is presented.
提出了一种新的基于极大似然法的BP神经网络算法,该算法定义了一种新的误差函数。
3.
The maximum likelihood was introduced into the traditional BP algorithm for the sake of estimating the noise distribution during the network approaching of the training sample.
本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。
补充资料：斑然
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