XinAnJiang_Model_in_matlab

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

Pattern recognition of letters and faces using PCA

关于matlab主元分析的一个简单的实例，可供初学者参考学习。(Matlab PCA on a simple example of reference for beginners to learn.)

说明：  采用matlab产生信号波形，实现QPSK编码。(Waveforms generated by matlab to achieve QPSK encoding.)

说明：  基于TOA|TDOA|AOA算法的比较，含详细MATLAB源程序(Based on TOA | TDOA | AOA Algorithms, with detailed MATLAB source code)

很好的关于风力发电的资料，希望对大家有所帮组。(good material)

sonar interfacing code on ardino

改进加速度平均值的一种跟踪算法。对目标的速度、加速度、运动轨迹等参数进行了对比，与CSM进行了比较。(An improved tracking algorithm acceleration average. The target speed, acceleration, trajectory parameters were compared with CSM compared.)

说明：  该程序可用于数值模拟高阶激光涡旋光束模式(This program can be used to numerically simulate high-order laser vortex beam modes)

learn about MRTD with code