udg

线性规划 包括单纯形法，梯度，牛顿(linear programming including the simplex method, gradient, Newton, etc.)

本程序先使用RSSI中对数常态模型来测距离，然后用三边测量法来计算未知节点的坐标。(The program first uses RSSI in lognormal model to measure the distance, and then use trilateration to calculate the coordinates of the unknown node.)

modulator for ofdm slmulation system

create figures in matlab

包括 解方程、规划问题、差值拟合、打印、绘图、回归、代数方程组、微分方程、随机数生成等等。 (Including solving equations, planning issues, the difference is fitting, printing, plotting, regression, algebraic equations, differential equations, random number generation, etc..)

激光当中最为重要的就是谐振腔，如何用matlab确定谐振腔的稳区呢？此处用平凹谐振腔举例(Laser is one of the most important among cavity, how to use matlab to determine the stability of cavity area?Here use plane concave cavity for example)

卡尔曼滤波工具箱，其中包含有关滤波中预测、更新等子程序(Kalman filter toolbox, which contains information about filtering prediction and update, such as subroutine)

基于MATLAB的线性调频信号产生以及频谱分析，某雷达参数下的模糊函数及自相关函数仿真分析。(MATLAB based on the linear frequency modulation signal generator and spectrum analyzer, a parameter under the radar ambiguity function and autocorrelation function simulation analysis.)

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.)

基于matlab的数字图像的二维傅立叶变换(FFT)以及二维离散余弦DCT变换，提供里详细代码，.m文件(Matlab-based digital image two-dimensional Fourier transform (FFT) and two-dimensional discrete cosine transform DCT offers in detailed code,. M file)