Math3

说明：  研究多帧图像超分辨复原算法中参考帧和参与复原图像帧数据集的选取问题(Selection of reference frame and the considering frames is investigating for multi-frame super-resolution restoration.)

说明：  通过quad2dggen算法处理二重积分数值计算问题，(Numerical problem dealing with double integral)

说明：  基于形态学的的玻璃瓶边缘检测，和canny算子对比，可出图。(Glass bottles based on morphological edge detection, and the canny operator compared to a map.)

说明：   在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等(The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. )

emm segmentation fdfddf

二维数据平滑，跟定二维数据，每9个点拟合，中间点带入拟合的曲线，得到平滑后的数据(2 d data smoothing, with 2 d data, fitting every nine points, intermediate points to the fitting curve, get data after smoothing)

说明：  一个激光slam的matlab仿真程序，代码有解释，对学习slam很有帮助(A matlab simulation program for laser slam with explanatory code is very helpful for learning slam.)

本代码是容量限制交通分配的代码。但是不通过完整的OD表进行配流，而是针对组成OD表的逐一起始点、终点的基础数据进行配流。路权是取的BFR函数，加了距离惩罚函数。(This code is the capacity limit traffic assignment code. But not through the complete OD table assignment, but for each table consisting OD initial, end with the underlying data stream. Right of way is to take the BFR functions, plus a distance penalty function.)

电磁悬浮系统电流控制平衡点线性化MATLAB仿真(Electromagnetic suspension system current control balance linearization MATLAB simulation )

关于报童问题的MATLAB仿真，其中分别进行了了均匀分布、负指数分布和高斯分布的方正。(MATLAB simulation on the newsboy problem, which had a uniform distribution, respectively, negative exponential distribution and the Gaussian distribution of the Founder.)