SimilarityRUL-master

STK生成的报告数据较复杂，可以通过matlab的指令，直接读取生成的轨道数据报告，并进行相应的存储。(Report data STK generate more complex, you can matlab instructions directly read track data report generation, and the corresponding storage.)

Exellent Introduction to Statistics Toolbox 对matlab Statistics Toolbox的非常棒的demo (Exellent Introduction to Statistics Toolbox demo/M-Files: closeDTool.m Force close DFITTOOL (without confirmation dialog) createCarDatabase.m Creates dataset array from Excel file and converts appropriate variables to categorical arrays FuelEconomyAnalysis.m Main analysis script for publishing loadData.m Load all data in directory and create a single dataset modelMPG.m Creates model for MPG based on filter parameters myDistFit.m Distribution fit for MPG (auto-generated, not used in demo) myPlot.m Custom plot for plotting model MPG vs. actual MPG simMPG.m Simulate the model with parameters demo/Excel (.xls) Files: 00dat.xls Fuel economy data for the year 2000 01dat.xls Fuel economy data for the year 2001 02dat.xls Fuel economy data for the year 2002 03dat.xls Fuel economy data for)

关于gps的kalman滤波程序段，很有用的，呵呵(Kalman filter on the gps program segment, very useful, huh, huh)

此Matlab程序展示部分主元法实现的高斯消元算法。(This Matlab program demonstrates some of the main element to achieve Gaussian elimination algorithm.)

迪杰斯塔拉算法在matlab上的程序。数学建模可以用哦(Stara Dijkstra algorithm in matlab procedures. Oh, mathematical modeling can be used)

The MATLAB function generates series of time correlated samples with rayleigh distribution.

A NEW MATLAB APPLICATION OF FEILD ORIENTED CONTROL (FOC) PROCEDURE TO DOUBLE FEED INDUCTION MACHINE.

可以结合HFSS联合仿真的matlab天线设计源代码，适用于无线通信系统天线设计工程师(Can be combined with HFSS antenna design combined simulation matlab source code, suitable for wireless communication system antenna design engineer)

双馈风力发电机DFIG与逆变器之间搭建的模型，可运行，欢迎下载使用(The model built between DFIG and inverter is operable, welcome to download and use)

Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.