Basic_Operation_Tutorial_MATLAB_simulation_modelin

采用各种不同的方法实现PCA，包括truePCA,empca等，做主成份分析好方法！(adopted various methods to achieve the PCA, including truePCA, empca. element analysis comes good way!)

Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square erro

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

说明：  循环结构程序设计。while语句、do-wile语句和for语句实现循环的方法。(Cycling structure design program。while statement，do-while statement and for statement. )

说明：  多项式拟和阶跃函数的小程序！对于多项式反演有一定的启发(Polynomial to be a small step function and procedures! Polynomial inversion for some inspiration)

generating gold sequence

image compression using btc algorithm. matlab program. This function accepts an image(color or gray) and compresses it using the block truncation coding. (btc using image compression algorithm. Ma tlab program. This function accepts an image (c olor or gray) and compresses it using the block t runcation coding.)

这是用MTTLAB编程，采用K近邻法对提取的水面漂浮物特征进行分类(This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water)

基于元胞自动机模拟表面张力的一个非常好的程序。(Celluar automation-- surface tension. It is a good source codes .)

它试图解决的问题，薄弱的标签是一个多学习一种新标签的问题，其中只有部分标签集与每个提供相关培训的例子(This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial label set associated with each training example is provided. A Readme file and an example file are included in the package)