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16QAM调制解调，不用系统自带命令，完全按照调制解调系统进行。(16QAM modulation and demodulation, without the system comes with command, in full accordance with modulation and demodulation system.)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

说明：  用栅格模型表示工作环境,确定机器人运动起始结点和目标结点后,对工作环境进行分析,选取起始点与目标点之间连线附近的若干栅格,以被选取栅格为关键点,采用蚁群算法分别计算关键点与起始点和目标节点之间的最短路径,求取全局最短路径(With grid model to represent the working environment, robot motion after initial nodes and target, analysis of working conditions, selecting starting point and the target point near the connection between a number of grid, grid for the key points to be selected, key point and the starting point is obtained by using the ant colony algorithm respectively and the shortest path between the target node, calculate the global shortest path)

用牛顿迭代法解非线性方程组的源程序，在MATLAB中可用(Newton iteration method for nonlinear equations of the source, available in MATLAB)

Image Inpainting in matlab

concttuc one matrix using matlab

说明：  离散余弦变换,实现数据的压缩以及相应噪声的去除(Discrete cosine transform, data compression and noise removal of the corresponding)

说明：  MPLAB+IDE快速入门指南 MPLAB+IDE快速入门指南(MPLAB+ IDE MPLAB+ IDE Quick Start Guide Quick Start Guide)

ApEn approx_entropy 两种计算近似熵的算法，一个程序简洁明了，一个从基本原理分布算起便于理解，亲自调试，都通过程序验证，结果一致，替换数据即可使用(Approximate entropy algorithm the ApEn approx_entropy two calculations, a program concise, counting a distribution from the basic principles of ease of understanding, the person commissioning, program verification, and the results are consistent, replace the data can be used)

包括了粒子滤波，无忌卡尔曼粒子滤波，以及他们的之间的比较！！(Including the particle filter loudly Kalman particle filter, and compare them between! !)