IOFileFilter

说明：  贝叶斯网络结构学习，及参数学习K2算法matlab代码(Bayesian network structure learning and parameter learning K2 algorithm matlab code)

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体MATLAB程序,并把所编程序用于江阴长江大桥风荷载模拟,结果表明效果较好。 ( Details of the formulas from regression techniques, while using this technology to simulate the spatial correlation of random wind loads, gives step by regression techniques from fluctuating wind load simulation and the specific MATLAB program, and the program compiled for the Jiangyin Yangtze River Bridge wind load Simulation results show better.)

说明：  MATLAB进行有关机器人仿真应用时应用的机器人工具箱，很好用(MATLAB simulation of the application of robot application of robot kit, with good)

基于RSSI的无线传感器网络定位，此算法实现RSSI定位(RSSI-based localization for wireless sensor networks)

是一个计算huffman编码的程序。用于matble上(Is a calculation of huffman coding procedures. For matble on)

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.)

一种基于Boost电路的光伏最大功率跟踪方法,内部详细介绍了BOOST电路的原理及其在光伏发电中实现MPPT跟踪，值得学习。(Boost circuit-based photovoltaic maximum power point tracking method, the internal details of the BOOST circuit theory and its application in photovoltaic MPPT tracking is implemented, it is worth learning.)

说明：  我个人认为比较好的matlab 怎么应用到c上去的文档，介绍给大家，希望能喜欢。(I personally think how good Matlab Application c boost to the document, introduced to the hope of love.)

说明：  实现方程求根！里面包括很多的方程求解！自己下起看看！(Achieve the equation Roots!)

Pisarenko谐波分解 matlab程序(Pisarenko Harmonic Decomposition PISAR(XT,SIN_NUM) Subplots the input signal (Xt) and the signal generated by the Pisarenko Harmonic Decomposition algorithm for a sum of SIN_NUM sinusoid waves)