msk_demod

系统辨识与MATLAB举例说明 国防科技大学(MATLAB system identification example, the National Defense University)

模糊综合评判计算程序 模糊综合评判的过程：1、灰色关联分析，求权重（程序见Relation）；2、模糊聚类分析，划分等级（程序见F_class）；3、隶属度计算，求隶属函数（程序见Subjection和subject）；4、模糊综合评判，计算各单元等级（程序见F_judge）。(Fuzzy comprehensive evaluation matlab code The process of fuzzy comprehensive evaluation: 1. Grey relational analysis to get weight (see Relation for program); 2. Fuzzy clustering analysis to divide ranks (see F_class for program); 3. Membership degree calculation to get membership function (see Subjection and subject for program); 4. Fuzzy comprehensive evaluation to calculate each unit grade (see F_judge for program).)

该程序可用于求解一维激波管的解析解。压缩包文件包含3个matlab程序，用户可以改变初始条件获得一维激波管某时刻下的物理状态。(this matlab codes is developed for solving shock tube problem with one dimenssion)

Probability hypothesis density filter for MTT tracking

K-mean matlab code example

如果G的边集E(G)中有个子集M，满足M中的任何两条边 都不邻接，则M就是图G的一个匹配。包含边数最多的匹配 称为最大匹配，最大匹配所包含的边数称为最大匹配数。当 G是二分图时，问题就比较特殊了，这就是我们要解决 的问题——最大二分匹配。(If there is a subset M in the edge set E (G) of G, if any two edges in M are not adjacent, then M is a match of graph G. The match with the largest number of edges is called the maximum matching, and the number of edges contained in the maximum matching is called the maximum matching number. When G is a two point graph, the problem is very special. This is the problem we want to solve -- the biggest two points matching.)

Phase-based Opic Flow Algorithm, described in Gautama, T. and Van Hulle, M.M. [2002]. A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering. IEEE Trans. Neural Networks, 13[5], 1127--1136.

用matlab实现的svm源程序。这个程序可以进行svm分类。(Svm matlab implementation with source code. This procedure can be svm classification.)

捷联惯导初始对准Kalman滤程序，非常难得的代码源程序。(SINS initial alignment Kalman filter program, source code is very rare.)

从电脑中选择一个图片，本程序可对图片完成类型转换，几何运算，代数运算（平均法降噪和减数运算），傅里叶变换，图像增强（包括灰度值变换，直方图均衡化，邻域平均法和中值滤波波法），图像复原，图像分割等功能。(Choose a picture from the computer, this program can complete type conversion, geometric operation, algebraic operation (average noise reduction and reduction), Fourier transform, image enhancement (including gray value transformation, histogram equalization, neighborhood averaging and median filtering wave method), image restoration, image segmentation and other functions.)