ccmethod

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

这是在MATLAB中开发的OFDM调制系统中的同步算法仿真，对于同步算法的理解有很好的辅助效果(This is developed in MATLAB in the OFDM modulation system synchronization algorithm simulation, the synchronization algorithm have a good understanding of the effect of the auxiliary)

简单的OFDM的均衡程序，采用的是ZF（迫零均衡），效果较好。(OFDM-equalization process simple, using the ZF (zero forcing equalizer) is better.)

使用matlab进行仿真，还有pca降维，kl变换方法进行人脸识别的参考论文(Using MATLAB simulation, and the PCA dimension reduction, the KL transform method for face recognition reference papers)

分别用“m函数 和”simulink 描述了直流有刷电机的控制算法设计。(Respectively m function and simulink describes a DC brush motor control algorithm design.)

多传感器信息融合技术相关的代码，适用于初期和中期学习参考(Multi-sensor information fusion technology related code, suitable for early and mid-study reference)

迫零算法，用于均衡器中，仿真比较其算法性能(Zero-Forcing algorithm for the equalizer, the simulation algorithm to compare their performance)

天线方向图程序，有些难，对深入学习有一定帮助(Antenna Pattern procedures, and some hard-depth study of some help)

说明：  脉冲信号调制解决了线性调频信号的调制特性(LFM)

这是利用matlab编写的层次分析法例程，希望有所帮助。(This is the use of matlab routines written in AHP, hope help.)