pufenxi

讲了卡尔慢滤波的跟踪程序 主要使用目标跟踪的(function kalman)

基于18个节点的直流潮流计算程序，能够运行没有错误，文件全，易初学者学习。(18 nodes based on dc power flow calculation program, to be able to run without error, file, all within easy scholars study. )

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

一种流形学习算法（很好用），用于特征降维，特征融合，相关分析等,分析了该信号的时域、频域、倒谱，循环谱等。( A fluid manifold learning algorithm (good use), For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，包含特征值与特征向量的提取、训练样本以及最后的识别，matlab小波分析程序。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, matlab wavelet analysis program.)

Mesh2d is a MATLAB toolbox designed to automatically generate quality 2D unstructured triangular meshes based on linear geometry inputs.

Lagrange 插值,该程序实现线性，二次，三次等等lagrange插值功能。(the interpolation of Lagrange)

IMM-交互多模卡尔曼滤波机动与非机动模型算法实现(IMM-interactive multi-mode Kalman filtering motorized and non-motorized model)

【matlab编程代做】matlab多边形相交 可以作为参考使用 学习([Do] matlab matlab programming generation lap maroon ball video can be used as a reference study)

数据驱动的统计学习方法，包括PLS、PCA、ICA等，可方便进行故障诊断研究(Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis)