3.635.8

Aprior算法在matlab中的算法。编程语言为C++。APPRIOR算法是关联规则的一种算法(Aprior anology in kdd)

SINE PWM FINAL SIMULATION

代码1用于将位置经纬高信息转换为地心地固坐标系下xyz信息；代码2是捷联惯导算法代码，用于将加速度计和陀螺仪输出的信息进行解算得到位置、速度和姿态信息。(Code 1 is used to convert the location of warp and weft information into XYZ information in a geocentric coordinate system; code 2 is a strapdown inertial navigation algorithm code, which is used to compute the information of accelerometers and gyroscopes to get position, speed and attitude information.)

基于多相结构的信道化接收机，包含特征值与特征向量的提取、训练样本以及最后的识别，自写曲率计算函数 。( Channelized receiver based on multi-phase structure, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Since writing the curvature calculation function.)

系统辨识与自适应控制MATLAB仿真教材里递推增广最小二乘法的参数估计的matlab实现的程序(Estimation of system identification and adaptive control of MATLAB simulation in the textbook recursive extended least squares method of the parameters of the matlab program)

说明：  捷联惯导系统放置在室内测试台上做静态测试，测试时间4500s。 1）取前180数据做粗对准（解析对准法）； 2）取第181s~900s数据做精对准（Kalman滤波法）； 3）从第901s开始做纯惯导解算； 4）用国军标的导航系统位置精度评价方法评估系统定位精度（分别计算CEP50 和 CEP95 下的定位精度）。(The strapdown inertial navigation system was placed on the indoor test bench for static test with a test time of 4500s. 1) take the first 180 data for rough alignment (analytical alignment method); 2) accurate alignment of 181s-900s data (Kalman filtering method); 3) pure inertial navigation solution is performed from 901s; 4) the positioning accuracy of the navigation system is evaluated by the method of position accuracy evaluation of the national military standard (the positioning accuracy under CEP50 and CEP95 are calculated respectively).)

Maxwell source code

利用matlab求响应程序，可以求出系统的响应 (use this project can sovle the problem )

光学工程对光路的追迹应用很多 本程序可以模拟光的折射路径。(The refraction of light)

1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. ( 1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. )