mfa

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)

position control systems, hope this help people

利用matlab进行滑动平均法消除趋势项(Using matlab trend term moving average method to eliminate)

说明：  通过经验模态分解emd波形分割，将脉冲波形分为多个部分，基于EMD的时频分析方法既适合于非线性、非平稳信号的分析(By empirical modal decomposition emd waveform segmentation, the pulse waveform is divided into several parts, and the time frequency analysis method based on EMD is suitable for nonlinear and non-smooth signal analysis)

对噪声及信号的功率谱估计,生物医学信号处理,matlab编程实现(Of noise and signal power spectrum estimation, biomedical signal processing, matlab Programming)

说明：  用来求解Ritz-Galerkin问题的matlab與mathematica程序(Used to solve the problem of Ritz-Galerkin procedure matlab and mathematica)

一个压控振荡器的代码 简单实用,是初学者的最佳选择 可以帮助深入了解电路设计(a vco matlab code very suitable for circuit design freshman )

分别用解析法和数值法求出并画出信号的幅度谱，并比较它们的结果。(Fourier Transform.)

一个师兄的毕设，采用波束成形技术的BER计算，相控阵天线的方向图（切比雪夫加权）。( A complete set of brothers, By applying the beam forming technology of BER Phased array antenna pattern (Chebyshev weights).)

该程序为盲源分离的仿真程序，对卷积模型的混合图像信号进行分离(The program for the blind source separation of the simulation program, a mixed model of convolution image signal separation)