Control-of-Power-Inverters-in-Smart-Grid

this will help u on cdma system this will provide u matlab on cdma system

在瑞利衰落信道下的回加性高斯白噪声的功率谱密度和概率密度函数(In Rayleigh fading channels back to the additive white Gaussian noise power spectral density and probability density function)

基于模糊自适应控制算法在网络主动队列管理中的应用研究(Research of Active Queue Management in Network Based on Self-adjusting Controller Algorithm of Fuzzy)

一些经典的传统标定文献，挺全的，还有用matlab做的Tasi标定中的共面法和异面法进行的标定精度分析程序(Some of the classic literature of traditional calibration, quite complete, there are to do with matlab Tasi coplanar calibration method and in-plane method of calibration accuracy of analytical procedures)

说明：  免疫算法在配电网故障诊断的应用：随机设置一组故障编码，和三种故障编码，通过免疫算法，求得故障编码属于故障类型的概率(The application of immune algorithm in fault diagnosis of distribution network: a set of fault codes and three kinds of fault codes are set randomly, and the probability of fault codes belonging to fault types is obtained by immune algorithm.)

自己写的利用SVM分离器来识别印章。水平有限，欢迎指正。(Write my own use of SVM separator to identify seal. The level is limited, welcome to correct. )

在多天线QAM调制下，仿真误码率曲线图。(Multi antenna in QAM modulation, bit error rate curve simulation)

MATLAB仿真 三电平电压空间矢量调制算法 鼠笼电机四象限运行(MATLAB simulation of space vector modulation algorithm of three level voltage squirrel cage motor four quadrant operation)

主要用于烧结金属材料孔隙率的分析计算，采用金相照片为素材(POROSITY ANLYSIS OF SINTERED MATERIALS)

说明：  压缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)，稀疏采样(Sparse sampling)，压缩传感 [1] 。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号 [1] 。压缩感知理论一经提出，就引起学术界和工业界的广泛关注。(Compressed sensing (Compressed sensing), also known as compression sampling (Compressive from), Sparse sampling (Sparse from), Compressed sensing [1].As a new sampling theory, it develops the sparse characteristics of signals, obtains the discrete samples of signals with random sampling under the condition that the sampling rate is much lower than Nyquist sampling, and then perfectly reconstructs the signals through the nonlinear reconstruction algorithm [1].Once the theory of compressed sensing was put forward, it attracted extensive attention from academia and industry.)