XS07012040

自然哲学之数学原理，伟人的杰作，可以看看(Mathematical Principles of Natural Philosophy, the great masterpiece, you can see)

Tests hypothesis that 2 variables are equally correlated with a 3rd if values from all 3 are paired

这个是用MATLAB中的SIMULINK做成的PCM编码器。(This is the MATLAB SIMULINK caused by the PCM encoder.)

pso alghoritm for different function

matlab培训课件，包含程序设计基础，可视化，数值计算，控制系统等章节内容。(matlab training courseware, including program design, visualization, numerical control systems and other chapters.)

pll simulation in matlab

source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具，作者daewonlee(source code for SVC(Support Vector Clustering) plot,by daewonlee)

基于matlab的遗传算法的仿真，能够求出最优解。(matlab inherit)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

该程序是利用MATLAB编写，用于三次样条曲线的生成。(The program is written in MATLAB for the cubic spline curve generation.)