Matlab-project

pe to snr for equalizer zfl and mmse for channel [1 .55]/norm([1 .55]) and tap=5

matlab code for simulation

说明：  本文件研究双摆的混沌 运用matlab对双摆进行模拟 最后给出了 双摆的轨迹图 (doublependulum chaos)

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)

灰度共生矩matlab代码。。。。。。。。(Gray symbiotic moments matlab code. . . . . . . .)

因子分析是指研究从变量群中提取共性因子的统计技术。最早由英国心理学家C.E.斯皮尔曼提出。因子分析可在许多变量中找出隐藏的具有代表性的因子。将相同本质的变量归入一个因子，可减少变量的数目，还可检验变量间关系的假设。(Factor analysis is the study of common factors extracted from the variable group statistical techniques. First proposed by British psychologist CE Spearman. Factor analysis can identify a representative factor to hide many variables. Will be essentially the same variables into one factor, can reduce the number of variables, but also test the hypothesis that the relationship between variables.)

单相PWM可控整流原理仿真，以及一些相关文件资料(Principle of single-phase PWM controlled rectifier simulation, as well as some relevant documents)

用于连续结构拓扑优化的编程实现，大家可以看看(topology optimization)

BP神经网络的改进应用Improved BP neural network(Improved BP neural network)

This is a first test of a fuzzy image processing application. The following is the documentation and other classes