uniform_m_src.tar

说明：  多类划分 matlab中使用数据挖掘的实例一个 方便新人参考(Matlab data mining multi-class classification)

给出接收信号眼图及系统仿真误码率，基于多相结构的信道化接收机，通过matlab代码。( The received signal is given eye and BER simulation systems, Channelized receiver based on multi-phase structure, By matlab code.)

matlab实现的DS-CDMA模块，功能齐全，适合使用(matlab cdma)

MATLAB入门到精通第十一章的实例全部代码，有好多个(MATLAB Introduction to the master all the code examples in Chapter XI, there are more than good)

基于matlab的球杆模型simulink(Simulink model based on the club matlab)

Statistical Feature Extraction

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

说明：  很好玩的，虽然简单一点，但是足可以说明混沌的出现的问题(is a lot of fun, though simple, but enough to note the emergence of a chaotic problems)

大地坐标变换，转换经度很高，修改正了反变换有0.6误差的错误。下载即可使用。(Geodetic coordinate transformation, the conversion of longitude is very high, change the inverse transform has 0.6 error. You can use to download. )

本资料详实的讲解了matlab的基础知识及编程方法，是初学者学习的好资料(this informative presentation of the basic knowledge of Matlab programming method and is a good beginners learning information)