juxingbodao

椭球体双频激电法正演数值模拟MATLAB源代码(Dual-frequency IP ellipsoid method numerical simulation of MATLAB source code)

matlab 图论，其中内容只要包括Dijkstra算法、Floyd算法、n2shorf等算法(the the matlab graph theory, in which algorithms including Dijkstra algorithm, Floyd algorithms, n2shorf, as long as)

NEW ALGORITHM FOR THE CLASSIFICATION OF DIFFERENT

报告第二部分给出了均衡器结构以及迫零均衡器和最小均方误差均衡器理论推导，第三部分 给出了均衡器的 Matlab 仿真；第四部分给出了两种均衡器的仿真结果及对比；附录给出了两种 均衡器的 Matlab 程序，总的程序，以及托普利兹矩阵与卷积作比较和自相关的计算。(The second part of the report gives the theoretical derivation of the equalizer structure and the zero-forcing equalizer and the minimum mean-square error equalizer. The third part gives the Matlab simulation of the equalizer. The fourth part gives the simulation results of the two equalizers And contrast; Appendix gives two kinds of equalizer Matlab program, the total program, as well as the comparison and autocorrelation of Toledith matrix and convolution calculations.)

此程序是用matlab编写的神经网络bp算法的一个简单例子(this procedure is used Matlab prepared by the neural network algorithm bp of a simple example)

说明：  这是一个有关frft的matlab的程序，请好好利用吧(a programm about frft,please take full use of it)

说明：  经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。(The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered)

LDPC研究者MacKay提供的校验矩阵H及对应的生成矩阵G，其中H行重为6，列重为3，行数252，列数504.(LDPC researchers MacKay, the calibration matrix H and the corresponding generator matrix G, H which re-6, series of three, the lines 252, 504 Columns.)

IEEE30节点电力系统标准参数和潮流数据(IEEE30 node power system standard parameters and trend data)

基于二阶泛模型的无模型自适应控制及参数整定，充分利用无模型自适应控制边建模边控制的特点，推导基于二阶泛模型的改进无模型自适应控制，应用辨识出的近似模型针对不同目标函数进行优化(Pan model based on second order approximation model of model-free adaptive control and parameter tuning, make full use of model-free adaptive control side edge control modeling features derived model-free adaptive control model based on improved second-order pan, identify the application The objective function to be optimized for different)