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optimization 的经典方法，这是第二个例子，共六个方法在其中。(optimization of the classical method, this is the second example, a total of six ways in which the.)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

智能微电网中光伏发电，风力发电以及蓄电池模型(Wind power generation mode)

New Envelope Algorithm for Hilbert-Huang Transform.rar 基于希尔伯特-黄变换中的一种新包络线算法 介绍的内容比较实用(New Envelope Algorithm for Hilbert-Huang Transform.rar based on the Hilbert- Huang Transform in a new envelope algorithms are more practical introduction)

FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅 助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅 助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab 环境下实现结果进行比较,前者效果更好,更具有实际应用价值。 (FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.)

等间距线性阵列，阵元数M=8，阵元间距d= λ /2， 等幅加权，无噪声。 分别仿真计算目标方位φr =0°、30°时的阵列方向图。 (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted, no noise. Respectively simulation calculation the target azimuth φr = 0,30 array pattern.)

Matlab编写的串口通讯程序，可以实现PC与串口外设的通讯与检测(Serial communication program written in Matlab, can achieve PC and serial communication with the detection of peripheral)

感应电动机的参数辨识，用于负荷建模的参数辨识的适应度函数，可以用遗传算法进行求解。(Induction motor parameter identification, the fitness function for load modeling parameter identification, we can use genetic algorithms to solve)

bpsk in Rayleigh fading

调用MATLAB7 Compiler 产生共享库程序的方法介绍，有如下的大致结构： 1．声明变量或者是函数作为输入变量； 2． 调用 mclInitalizeApplication函数，并测试是否成功，该函数设置了一个全局的MCR 状态，并且构建MCR实例； 3． 对于每个库，调用一次<libraryname>Initalize函数，为库创建一个MCR 实例； 4． 调用库中的函数，并处理其结果（这是程序的主要部分）； 5． 为每个库调用一次<libraryname>Terminate函数，用于注销相联系的MCR； 6． 调用 mclTerminateApplication函数，释放与全局MCR状态相联系的资源； 7． 清除变换，关闭文件等，然后退出。(VC+ MATLAB7 C Shared Library Target)