Lecture4-ModelicaExamples

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类(Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes)

说明：  This code simulated one dimensional structure resonance by moment method

分类对比开发系统，能够通过设置不同的参数对数据进行分类，得到不同分类结果。(Classification contrast development system by setting different parameters can classify the data, get different classification results.)

基于铌酸锂MZ调制器，通过展开，计算其三阶互调失真以及SFDR等(Based on lithium niobate MZ modulator, by expanding to calculate the third-order intermodulation distortion and SFDR etc.)

利用遗传算法解决潮流计算中的5节点计算潮流问题，能够优化结果(Using genetic algorithm to solve 5-node power flow problem in power flow calculation can optimize the results.)

上传个东西太费劲了 用MATLAB写的一段相差程序(about optical abrration )

stanford大学开发用于解优化问题的系统模型，可用于解压缩感知恢复算法：BP、DS等(the system modeldeveloped by stanford University is used for the solution of optimization problems, such as compressive sensing recovery algorithm: BP, DS)

freeman_2components_decomposition_T3 效果不错(freeman_2components_decomposition_T3 have a good result)

Comparison and Evaluation of Different Cluster