MatlabCoorelatedRV

永磁同步电动机的空间矢量控制simulink源代码(Permanent magnet synchronous motor with space vector control simulink source code)

有限差分法 微分方程和积分微分方程数值解的方法。基本思想是把连续的定解区域用有限个离散点构成的网格来代替， 这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似， 积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组 ， 解此方程组就可以得到原问题在离散点上的近似解。然后再利用插值方法便可以从离散解得到定解问题在整个区域上的近似解。 (Finite Difference Method Numerical solution of differential equations and integro-differential equation approach. The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution. And then using interpolation methods can be determined from the discrete solution of the problem solution of the approximate solution on the entire region)

基于matlba的常见信号设计，全部都经过实验验证，可作为子函数使用(Common Signal Design matlba based, all through experimental verification, use as Functions)

图像融合的matlab工具包，希望大家能用得到。(Image fusion matlab toolkit, hope everyone can get.)

利用贝叶斯实现的分类器小程序，显示出按照最小风险和最小误差分类的结果(Bayesian classifier implemented using a small program to show in accordance with the minimum risk and minimum error classification results)

稀疏信号的重构算法：IST算法，OMP算法，Lasso算法，StOMP算法，TwIST算法(Sparse signal reconstruct algorithms)

计算BPSK在AWGN下得误码率。其中，设置高斯白噪声的功率为1，也即是归一化功率(calculate the BER of BPSK under AWGN channel)

连续相位调制在不同进制下的频谱对比，以及与QPSK信号频谱的对比(PSD of CPM in different modulation aryM)

its a child puzzle fig....see it and try to deduce the code in matlab

Amplitude Clipping and Iterative Reconstruction of MIMO-OFDM Signals with Optimum Equalization