New-WinRAR-archive

闭环系统辨识的MATLAB源码，对于SISO系统具有良好的辨识效果(Closed-loop system identification of the MATLAB source code for the SISO system has good identification results)

MATLAB CODE HKK KLLKKNXJ JSKIU MXNLZXLJ JHKS. M,NJKHZN JKHNK. JLX,

Read and write miniSEED file

侧向和横摆的二自由度车辆模型,输入为方向盘转角，车速，轮路附着系数(2dof vehicle model including lateral and yaw)

扩展卡尔曼滤波 的数据融合算法实现，航迹关联(EKF information synchronous data fusion algorithm)

利用Matlab建立主电网发生故障时的交流微电网模型。交流微网运行在480V，从120 kV电网交流输入降压11kV然后走到480V。故障发生在t 10秒。(Using Matlab to establish the AC micro grid model of the fault of the main power grid. AC microgrid runs in 480V, 120 kV AC input to buck 11 kV and then go to 480V. Failure occurred at t 10 seconds.)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

这是matlab的常用的函数，很有用的喔，好不容易淘的。(This is commonly used matlab functions, very useful Oh, finally Amoy.)

MATLAB实现的线性方程组超松弛迭代算法源程序。(MATLAB realization of linear equations over-relaxation iterative algorithm source code.)

传统的DOA估计算法，如MUSIC、ESPRIT算法，都是在假设信号没有相干的情况下求解的，一旦信源信号具有相干性，估计性能会急速下降，所以提出了空间平滑的算法，解决相干信号的波达估计！(The traditional DOA algorithms, such as MUSIC, ESPRIT algorithm, is under the assumption that the signal is not coherent case solving, once the source signal with coherence, estimation performance will fall, so put forward spatial smoothing algorithm, to solve the coherent signal estimation of direction of arrival!)