Constant_PQ_Microgid

caalcul fourier series in matlab

提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)

说明：  在MATLAB运行环境下，基于支持向量机的非线性系统辨识程序！(Run in the MATLAB environment, based on support vector machines for nonlinear system identification procedure!)

关于电机的实例，适合有基础的人进行研究，主要应用的是matlab (About an instance of the motor, suitable for people who carry out basic research, the main application is matlab)

给出了隶属度函数求故障标准差和均值的程序，此程序能够很好的对故障识别做出曲线比较。(It could give standard deviation and mean and compare different faults though figure. )

这是一个异步电机无速度传感器的矢量控制仿真模型，其中转速辨识用的是模型参考自适应法。(This is an asynchronous motor vector control without speed sensor simulation model, which is used to identify the speed model reference adaptive method.)

基本的ICA算法代码,进行有效的特征提取，是一种降维方法。(the matlab code of ICA)

产生QPSK信号，根据仿真的数据估计差错概率(Produce QPSK signal and estimate the data according to the error probability)

ofdm粗频偏估计程序，包含5个模块，基于PN序列的同步(ofdm coarse frequency offset estimation procedures, including the five modules)

该文件采用BBS算法能够实现盲信号的分离，分离效果很好，输入为两种信号的非线性叠加，经过仿真效果很明显！(The document can be achieved using BBS algorithm for blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!)