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用matlab实现的分类算法，非常经典的，功能齐全(Using matlab realize the classification algorithm, a very classic, full-featured)

LMS算法是研究最早的自适应算法，简单实用是其最主要的特点。但是仅进行一次求自适应权，还不够准确，本算法中将多次求权平均的结果与单次求的结果进行了比较！(LMS algorithm is the first study of the adaptive algorithm, meanwhile, simple and practical is its main feature. But if only seek adaptive right once,this is not accurate enough,so my algorithm take a comparison between the results of the weighted average and the results with a single seeking!)

计算B样条非零基函数及其直到n阶导数（n<=p）的算法，p是B样条基函数的次数(Calculation of B-spline basis functions and until nonzero derivative of order n (n < = p) algorithm, p is the B-spline basis functions of times)

使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)

实现小球下落过程的matlab的蒙特卡洛的方针。动态的显示了小球的运动。(Realizes the pellet whereabouts process matlab Monte-Carlo s policy. Dynamic demonstration pellet movement. )

使用MATLAB从你的iPhone或iPad上的内置传感器采集传感器数据(Use MATLAB to acquire sensor data from built-in sensors on your iPhone or iPad. )

Rayleigh distribution simulation with theoretical comparison

说明：  ofdm信道 的模型 仿真 整个全由 可以探讨学习(ofdm channel model simulation of the whole can learn from the)

matlab一维码识别 利用radon算子做水平方向矫正(radon correct)

time frequency analysis