csjjl

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

四轴飞行器程序，含陀螺仪姿态角显示及其控制，稳定易懂，运用PID算法，卡尔曼滤波(Four axis aircraft program, display containing gyro attitude and attitude control, stable and easy to understand, the use of PID algorithm, Calman filter)

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

目标跟踪算法，运用交互多模型算法的卡尔曼滤波器。有文档，有程序，适用于初学者(Target tracking algorithm, using interactive multiple model Kalman filter algorithm)

一个DLAN的例子，非常的有意思，希望能够有帮助(An example of a DLAN, very interesting, hope to be able to help)

跨平台开发时，可以在任意系统使用统一的tchar 函数。(Cross-platform development, you can use a unified tchar function in any system.)

matlab中cart决策树源代码，用于数据的分类和预测。(source code in matlab cart decision tree for data classification and prediction.)

利用Matlab实现矢量量化LBGVQ算法，(failed to translate)

基于matlab建立的关于汽车轴的控制模型，包括轴的运动方程和模型的建立。其实在ADVISOR中可以找到，不过，用matlab2012版重新建立了。(Established based on matlab axis control on the car model, including axis motion equations and model. ADVISOR can be found in the fact, however, re-established with matlab2012 version.)

轴承故障诊断.rar轴承故障诊断.rar(damage detection)