matlab-plot

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)

一篇介绍ARMA时间序列模型定阶方法的文章，供大家参考。(a paper about order determination method for ARMA time series model .)

这是一个改进的查分进化算法，相应的论文为：An improved differential evolution with novel mutation strategy. 发表在IEEE 2014 Symposium on differential evolution (SDE)(This is an improved differential evolution. The corresponding paper is:An improved differential evolution with novel mutation strategy. On IEEE 2014 Symposium on differential evolution (SDE))

双馈风机模型，基于matlab/simulink软件实例，修改参数后得到，能实现顺利运行。(DFIG model, based on matlab/simulink software instances, the modified parameters obtained, to achieve a smooth operation.)

说明：  matlab MCL（蒙特卡罗）仿真，移动节点(matlab MCL (Monte Carlo) simulation, mobile nodes)

说明：  Airy光束，基模高斯光束 Bessel光束经过大气湍流相位屏的传输特性(Propagation characteristics of Bessel beam passing through atmospheric turbulence phase screen)

频谱分析中，高密度频谱和高分辨率频谱之间的区别(Spectrum analysis, the difference between the spectrum of high-density and high-resolution spectrum)

Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linear array optimization like genetic algorithm, Particle swarm optimization, Simulated Annealing, Bacteria Foraging and Biogeography Based Optimization. From the survey It was observed that biogeography based optimization is better for antenna geometries.

说明：  基于ATO的列车速度曲线优化，用matlab遗传算法实现。(Train speed curve optimization based on ATO is realized by Matlab genetic algorithm.)

该文件是单相全桥SPWM逆变器的仿真，使用simulink完成(This file is the simulation of single phase full bridge SPWM inverter, using simulink)