as332

Detection of Facial Landmarks Using Local-Based Information

Fuzzy c means + hmf implenentation

hfss matlab api 联合仿真(hfss matlab api United Simulation)

part of 3g simulation in matlab

这是模拟photoshop中魔术棒效果的matlab程序，用于图像分割(This is the simulation of Photoshop magic wand effect of Matlab procedures for image segmentation)

利用matlab软件产生高斯白噪声和有色噪声的程序及程序说明(Using matlab software to produce white gaussian noise and colored noise procedures and instructions)

This code is about colorful pic generator. This code is done in MATLAB.

系统辨识参数,未知系统结构，通过实验数据辨识验证系统的阶次和系统结构参数(System identification parameters)

包括主成分分析、因子分析、贝叶斯分析，数据模型归一化，模态振动，对信号进行频谱分析及滤波，调试通过可以使用，matlab程序运行时导入数据文件作为输入参数，IMC-PID是利用内模控制原理来对PID参数进行计算。(Including principal component analysis, factor analysis, Bayesian analysis, Normalized data model, modal vibration, The signal spectral analysis and filtering, Debugging can be used, Import data files as input parameters matlab program is running, The IMC- PID is using the internal model control principle for PID parameters is calculated.)

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)