matlab_pca

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

说明：  温克、孙克华，清华大学出版社。神经网络算法、遗传算法、粒子群算法、免疫算法、蚁群算法等等。(Neural network algorithm, genetic algorithm, particle swarm algorithm, immune algorithm, ant colony algorithm, etc.)

通信原理实验软件仿真实验，包含： 单极性归零码(RZ)的波形及其功率谱。 单极性不归零码(NRZ)的波形及其功率谱。 一个完整的数字基带系统的仿真。 一份完整的报告和分析。 (Communications software simulation experiment, including: unipolar return-to-zero (RZ) waveform and its power spectrum. Unipolar non-return-to-zero (NRZ) waveform and its power spectrum. A complete digital baseband system simulation. A full report and analysis.)

该协议是LEACH的改进，思想是：为了延长网络的生命周期，节点只需要和她们最近的邻居之间进行通信。节点与汇聚点间的通信过程是轮流进行的，当所有节点都与汇聚点通信后，节点间再进行新一回合的轮流进行的。由于这种轮流通信机制使得能量消耗能够统一的分布到每个节点上，因此降低了整个传输所需要消耗的能量。(The agreement is LEACH improvement idea is: To prolong the network lifetime, and between nodes only need to communicate with their nearest neighbors. Communication process between the node and the focal point is in turn carried out when all the nodes are associated with the convergence point communication between nodes then turns a new round of. Due to this rotation so that the energy consumption of the communication system on each node to the uniform distribution, thus reducing the energy consumption required for the transmission.)

关于PSO算法 ,这是一个与自适应控制有关,也是控制的输入.(On the PSO algorithm, which is a relevant and adaptive control as well as control input.)

说明：  两个参数自适应模糊PID的例子，能用，效果不错(auo tuning of Fuzzy PID)

本程序实现LPP降维功能，用于多模态故障诊断中，对象为TE，诊断效果很好(This procedure realize the LPP dimension reduction function, used for fault diagnosis of multimodal, object for TE )

说明：  利用短时能量和短时过零率的语音端点检测算法(Short-term energy and zero crossing rate of the voice activity detection algorithm)

最优信息法，有序样品聚类——最优分割，采用多种分割方法 (Optimal information method, ordinal clustering- the best split, using a variety of segmentation methods)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)