SIMULINK

A hardware-in-the-loop simulation of a wind energy conversion system is used to assess a MPPT strategy for different velocities. The actual system is composed of the blade, a mechanical power train, a squirrel cage induction generator and power electronics. The experimental set-up consists of a DC drive connected to the induction generator. The DC machine is controlled to impose the same behavior as the wind turbine to the induction generator. Fluctuations of wind velocity and non-linear characteristics of the turbine are taken into account. All numerous model and controls blocks are organized according to Energetic Macroscopic Representation for real-time implementation. A very simple MPPT strategy without wind velocity measurement is achieved using a look-up table. This strategy includes a rotation speed limitation. Experimental results are provided for weak and medium wind profiles.

目标跟踪部分采用颜色空间与纹理特征结合的方式，实现建模。(In the part of target tracking, adopts the method combination with color space,texture characteristics,Mean-Shift and kalman filter,to achieve the goal. )

山地分布图,能够明确的画出山地的地形分布，可以很好的分析山的地形(san wei kong jian fen bu biao,neng yong gai dai ma hua chu fen bu biao . er qie zhi guan ming que,bi jiao xing mu . xi wang neng gei da jia dai lai yong chu .)

说明：  Matlab实现的数字调制算法源代码(ASK, OOK, BPSK, QPSK, 8PSK)(Matlab implementation of the digital modulation algorithm source code (ASK, OOK, BPSK, QPSK, 8PSK))

power_sixpulses.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_sixpulses.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

这是心电项目的程序，VS写的,ecg检测，可以算心率，QRS波间隔(This program is the heart of power projects, VS write of ECG)

Probability of error of 4-DPSK system with differential phase coherent receiver.

this program is about jpeg demo

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.)

Sİ MULATED ANNEALING MATLAB OPTIMUM