RRobot_Localio

matlab求解二阶常微分方程数值解，具有较好的效果，对学习matlab非常有用。(matlab solving second order ordinary differential equations, with good results, to learn matlab very useful.)

包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类(Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering)

捷联惯性导航解算程序，内附实实测数据与说明文档可直接使用。 (Strapdown Inertial Navigation solver, included the actual measured data and documentation can be used directly.)

GUI示例,包括基本的GUI和右键弹出菜单的简单例子(GUI examples, including basic GUI and a simple example of the context menu)

QAM16调制的实现 matlab源程序源源码 星座图的输出与结果都正确 可直接使用。 (Matlab source source source constellation of QAM16 modulation output results are correct can be used directly.)

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.)

Matlab C++ Math Library

数字水印源码，基于matlab的，可实现，共同分享。(Digital watermarking source code, based on the matlab can be realized.)

精通Matlab---综合辅导 各种Matlab操作(Proficient in Matlab--- Comprehensive Counseling Matlab operation)

三维数字滤波器中的butterworth理想低通滤波器的matlab仿真及其结果(3 d digital filter butterworth ideal the low-pass filter of matlab simulation and the result )