metodos1

matlab编程简易帮助文档，对于初学者十分有用(help Matlab programming simple document, very useful for beginners)

用Matlab写的高斯混合模型的贝叶斯EM估计，(Variational Bayesian EM for Gaussian mixture models)

非负矩阵分解的人脸识别NMF 可正常运行 算法源码(Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source)

图像纹理提取，这是用matlab编的图像纹理提取程序，该方法能有效的用于纹理分析。(Image texture extraction, which is compiled using matlab image texture extraction process, the method can be effectively used for texture analysis.)

说明：  the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical methods for system identification used to find the transfer function for the model. The equations given by [15]: Y=φβ+ξ (7) β=〖(φ^T φ)〗^(-1) φ^T Y (8) where Y is the predicted output. φ is includes actual input and output parameters. β is includes parameters to be estimated.

该程序主要是完成MSK的调制这样的一个过程。(The program mainly completes the process of modulation of MSK.)

matlab based single phase semi converter simulation model for power elecyronics study

说明：  矢量网络法散将射参数转化为介电常数 本代码计算需要的输入值为：d(超材料厚度方向的周期常数)，f(频率的变化范围)，S(通过CST或HFSS软件计算得到的散射参数)(The vector network dispersion transforms the radiation parameters into the dielectric constant Input values required for calculation in this code are: D (periodic constant in the direction of metamaterial thickness), F (range of frequency variation), S(scattering parameters calculated by CST or HFSS software))

使用Matlab仿真QAM和M=4的PSK(Matlab simulation using QAM and M = 4 of the PSK)

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)