shapefromshading

Fuzzy logic simple example using simulink bloc models on matlab works r2008a

稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像。(sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image.)

图论中关于最短路径的Dijkstra算法和通过两指定顶点的最短路径算法。(The shortest path on graph theory and the Dijkstra algorithm specified by two vertices of the shortest path algorithm.)

用filter函数或conv函数求解系统输出响应的主程序(Solving the system responds with output filter function or the main function conv)

说明：  三相逆变器SIMULINK仿真，可以用来完成相关仿真实验(Simulink simulation of three-phase inverter)

附件为LTE里CRC校验的MATLAB源程序。(The CRC checkout of LTE.)

关于遗传算法的博士论文，从matlab中文网上下下来的(Doctoral thesis on genetic algorithms)

The Engineering Vibration Toolbox is a set of educational programs written in Octave by Joseph C. Slater. Also included are a number of help files, demonstration examples, and data files containing raw experimental data. The codes include single degree of freedom response, response spectrum, finite elements, numerical integration, and phase plane analysis. (The Toolbox is a set of educational programs written in programs by Jo seph C. Slater. Also included are a number of HE p files, demonstration examples. and data files containing raw experimental dat a. The codes include single degree of freedom're sponse, response spectrum, finite elements, numerical integration. and phase plane analysis.)

一个关于动力学知问题的程序,用来求解其方程(Here we present some MATLAB programs which solve the second problem of Dynamics )

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.)