registration-matlab-csh

说明：  高斯-赛德尔迭代计算方法是在计算第一个方程函数得到第一个自变量后，吧自变量更新进入第二个方程计算。(Gauss- Seidel iteration method is to function in the calculation of the first equation obtained after the first argument, it updates the independent variables into the second equation.)

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

海杂波模拟 lognormal分布 很好用的(Simulation of lognormal distribution of sea clutte)

This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.

这个是基于PSO粒子群算法的RBF径向基网络(This is based on particle swarm optimization PSO RBF radial basis function network)

推荐系统 数据挖掘 数据分析 机器学习 代码(re_sys data mining analysis ml code)

两个prony算法，需要自己给定阶数p，用于系统辨识(Two prony algorithm needs its own given order p, for system identification)

消除左递归，包括自上而下的非递归分析和自上而下的分析(Eliminate left recursion, including non-recursive top-down analysis and top-down analysis)

曲线拟合资料，自己学习过程中积累的一些文档，包含多种数据拟合方法。(Curve fitting data, some of the documents accumulated in their own learning process, contains a variety of data fitting methods.)

大学生数学建模的书籍以及训练习题，和答案，应该对参赛的选手有一定的帮助。(Mathematical modeling of books and training exercises, and answers for participating players should have some help.)