64QAM_baseband_system_receiver

this package is very useful. for those student doing project in ns2 software it is very helpful

电力系统仿真，可仿真电力系统各种故障，运行于分析(Power system simulation, to simulate a variety of power system fault)

利用递归最小二乘法对MIMO系统进行参数辨识(identify parameters of MIMO system by RLS)

matlab有理分式多项式展开系数计算程序(matlab)

内螺旋覆盖搜索的一个算法实现，运行为plotdmap（a,b,c,d）a,b,c,d为数字，a,b为栅格地图的长宽，c为搜索目标的数量，位置自动随机出现杂地图上，d为搜索车辆的数量，位置分布在地图最外围。(Cover a spiral search algorithm, run for the plotdmap (a, b, c, d) a, b, c, d for the number, a, b for the grid map of the length and width, c is the number of search targets, location Auto randomly mixed map, d the number of vehicles for the search, location map of the distribution in the outermost.)

用迭代解的方法来求摄影测量中的相对定向元素(Iterative solution method to find the relative orientation elements in photogrammetry )

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

CUM4X用于计算四阶统计量 CUM4X Fourth-order cross-cumulants. (CUM4X used to calculate the fourth-order statistics)

v线性调频信号的产生 线性调频信号的产生 线性调频信号的产生(chirps signs)

关于matlab编程的基本规则和说明，作者是richard johnson(basic rules and description about how to program in matlab,the author is richard johnson)