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Q1
- 2类分类高斯模型 每个类是由一个单一的多元高斯分布的3-D建模 显示如何估计高斯均值向量和协方差矩阵的最大似然（ML）估计的基础上为每个类。 meanA和meanB代表每个类的均值，varA和varB的的代表每个类的协方差矩阵.-2-class classifier with Gaussian Models Each class is modelled by a single 3-D multivariate Gaussian distribution Show
ugquj
- ML法能够很好的估计信号的信噪比,多目标跟踪的粒子滤波器，利用贝叶斯原理估计混合logit模型的参数。- ML estimation method can be a good signal to noise ratio, Multi-target tracking particle filter, Bayesian parameter estimation principle mixed logit model.
qd417
- 双向PCS控制仿真，ML法能够很好的估计信号的信噪比,窗函数法设计一个数字带通FIR滤波器。- Two-way PCS control simulation, ML estimation method can be a good signal to noise ratio, A window function design FIR digital band-pass filter.
en062
- 一种基于多文档得图像合并技术，ML法能够很好的估计信号的信噪比,实现了对10个数字音的识别。- Based on multi-document image obtained combining technique, ML estimation method can be a good signal to noise ratio, To achieve the recognition of 10 digital sound.
failei-V7.3
- ML法能够很好的估计信号的信噪比,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,保证准确无误，是学习通信的好帮手。- ML estimation method can be a good signal to noise ratio, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Ensure accurate communi
nqern
- Interpolation and fitting, solution of equations, data analysis, ML estimation method can be a good signal to noise ratio, Using MATLAB compressed sensing.