simul_worst_V1

fast fourier transform (FFT) code in MatLab

Detect the type and convert the image to one out of four types: BW, LABELED, CONTOUR,LIKELIHOOD. This program can be used as a part of automatic image recognition tool.

认知无线电系统中，主用户和认知用户仿真代码，可以根据需要加入多个主用户和认知用户等。matlab的实现(Cognitive radio system, the primary users and cognitive user simulation code, as needed into a number of primary users and cognitive users. matlab implementation)

查准率与查全率的计算代码。使用matlab编写完成的。可以计算图像标注的查准率与查全率。(Precision and recall rate calculation code. Prepared using matlab complete. Image annotation can be calculated with precision recall rate.)

高斯积分点和权重的自动生成，可以调整不同高斯积分点个数(Gaussian integral)

用MATLAB语言求取控制表,输入为偏差和偏差变化率,输出为控制信号(using MATLAB strike control table, input errors and the rate of change of error, the output control signals)

用于求解不可压ns方程的vof自由表面，采用了二维对称调用的技术。(Ns for solving equations vof incompressible free surface, using a technique called two-dimensional symmetry.)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

Interrupt dispatcher template for custom system on chip

TSP问题的人工蚁群算法中，假设m只蚂蚁在图的相邻节点间移动，从而协作异步地得到问题的解。每只蚂蚁的一步转移概率由图中的每条边上的两类参数决定：1、信息素质，也称信息素痕迹。2、可见度，即先验值。(Artificial ant colony algorithm TSP problem, assume that m ants move between adjacent nodes in the graph, which asynchronously collaborate get problem solution. Each ant transition probability is determined by the figure of two kinds of parameters for each edge: 1, the quality of information, also called pheromone trails. 2, visibility, ie priors.)