Rotordynamics_Prediction_in_Engineering

计算隐马尔可夫模型序列的最可能的状态路径(Hidden Markov model to calculate the most likely state sequence path)

基于二值数据的贝叶斯分类器，用于数字识别(Based on binary data Bayesian classifier)

小波包分析提取振动信号中的特征频率，D-S证据理论数据融合，能量熵的计算。( Wavelet packet analysis to extract vibration signal characteristic frequency, D-S evidence theory data fusion, Energy entropy calculation.)

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

The model consists of Physical layer simulation for downlink. Matlab GUI

说明：  一堆基于tf分析的代码，时频分析具有优良的特点，具有广泛地运用(A pile of TF analysis based code, time-frequency analysis has excellent characteristics, has a wide range of applications)

用matlab实现相关信号源DOA估计 FSS FBSS(doa of coherent sources FSS FBSS)

基于准滑动模态的滑模控制 准滑动模态系统仿真实例(Quasi-sliding mode based Sliding Mode Control Quasi-sliding mode system simulation example)

包含微型计算机控制的案例，尤其以PID控制为主(microcomputer control)

模式识别的大作业 改进的C均值法，对聚类效果比较显著(Great job to improve recognition of the C means method, a relatively significant effect on the clustering)