matlab

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)

对惯性导航、卫星导航以及组合导航系统进行理论仿真分析(Theoretical simulation and analysis of inertial navigation, satellite navigation and integrated navigation system)

说明：  是ofdm关于matlab仿真方面的文章，里面写的特别的好，已经运行处结果。对仿真很有帮助(Ofdm matlab simulation area is on the article, written by particularly good which has been running at the results. Useful for simulation)

这是一个Gabor小波的滤波器，利用Gabor小波进行滤波，同时与高斯窗函数结合(This is a Gabor wavelet filter, Gabor wavelet filter combined with Gaussian window function)

OFDM系统的实现过程包括收发端的调制解调过程(OFDM system implementation process, including the process of sending and receiving end of the modem)

这个是详细的粒子群算法代码。大家可以借鉴参考。(This is the detailed particle swarm optimization code. We can learn from the reference.)

用改进的Huber函数，修改了现有的递归最小二乘（RLS）算法的误差函数(With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function)

遗传算法matlab代码，很不错，值得看看(Genetic algorithm matlab code, very good, worth a look)

基于互功率谱的时延估计算法，对仿真结果有图详细描述(Based on cross-power spectrum of time-delay estimation algorithm, simulation results have plans for a detailed description of)

In this model we take sums of u Xv and iteratively optimize parameters of the sums. For paper(s) see pd.hacker.lt