资源列表
scfde_timing_effect_ber
- 一种基于正交频分复用系统，存在定时偏差时的系统性能代码-based on orthogonal frequency division multiplexing system, there are regular deviation of system performance code
svm-kmexe
- 关于svm的例程，对初学者或感兴趣的同学很有帮助-svm on the routines for beginners or students interested helpful
ldpc_ber
- 关于LDPC编译码的程序，希望大家喜欢。 其中有具体的编码，解码，调制等模块。-on LDPC encryption procedures, hope you like them. Which specific encoding, decoding, modulation and other modules.
wcdmadownlinkpowercontrol
- 这是一个wcdma下行功率控制仿真的源代码，还不很成熟，但是基本过程具备了，可以运行，但需要进一步修改-This is a WCDMA downlink power control simulation source code, not very mature, but the basic process is here, and can run, but needs further revisions
powell
- powell优化搜索算法，适合于多参数优化且目标函数中不包含参数的情况-Powell optimization search algorithm, suited to multi-parameter optimization objective function which does not contain the parameters of
MatlabInterfaceDesign
- 用Matlab进行可视化界面设计，有菜单、控件、用户输入等-using Matlab for visual interface design, menus, controls, such as user input
Matlab-Mapping
- 用matlab实现世界地图调用和显示，可以任意控制范围-using Matlab world map and calls, it can be arbitrary control
fdtdx
- fdtd 例程，了了解和学习FDTD方法的基础，呵呵，很不错的哦-fdtd routines, understanding and learning based on the FDTD method, huh, oh very good
CCMethod_luzhenbo
- C-C法重构相空间文件夹说明1.CC_Method_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 信号归一化 4、ccFunction.dll - 计算S(m,N,r,t)-C-C method reconstruction phase space folders note 1.CC_Method_main.m-procedure two main documents, LorenzData.dll
ToyFDTD1
- This a very simple Yee algorithm 3D FDTD code in C implementing the free space form of Maxwell s equations on a Cartesian grid. There are no internal materials or geometry. The code as delivered simulates an idealized rectangular waveguide by treatin
CorrelationDimension_luzhenbo
- 计算关联维的 Matlab 程序 - (mex 函数，超快) ----------------------------------- 文件夹说明： 1、CorrelationDimension_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、PhaSpaRecon.m - 相空间重构 5、CorrelationDimension.dll - 计算关联积分函数
Volterrra_luzhenbo4
- 更新部分 1、自适应算法采用参考文献[2]的NLMS算法，收敛速度更快，所需训练次数更少。 2、自适应收敛步长在(0,2)之间存在较优取值，Lorenz序列为0.6。-update an adaptive algorithm reference [2] NLMS algorithm, convergence faster, less the number of required training. 2, adaptive step in the convergence of (0,2)