Simulink block to mpcsimulink

利用小波分析来对其中找出其中信号的奇异点，并对进行分析。(Using wavelet analysis to figure out which of them singular point signal, and analysis.)

MATLAB在数学建模中的应用，含有具体实例(The application of MATLAB in mathematical models.)

二阶锁相环在输入信号为调频信号是的混沌特性分析(Second-order PLL FM signal in the input signal is Chaotic Characteristic Analysis)

基于matlab的K-means聚类算法的实现以及二维随机点的聚类结果(Matlab-based K-means clustering algorithm)

1、画出函数y=x*sin(x) 2、用曲面表示z=x^2+y^2 3、创建n阶魔方矩阵，n能被4整除 4、三维图形影片动画 5、画出N=100，p=0.5情况下二项分布的概率 特性曲线(1, draw the function y = x* sin (x) 2, using surfaces to describe z = x ^ 2+ y ^ 2 3, create a cube matrix of order n, n be divisible by 4 4, 3D graphics, animation film 5, draw N = 100, p = 0.5 case, the binomial probability curve)

说明：  结合DBPSK(Differential Binary Phase ShiR Keying)的LT码进行了深入的分析与仿真研究，重点讨论了LT码与调制的联 合优化问题。(The LT code combined DBPSK (Differential Binary Phase ShiR Keying) conducted in-depth analysis and simulation study focused on a the LT code modulation joint optimization problem.)

关于严格耦合波发分析光栅等的相关matlab仿真(About rigorous coupled-wave analysis of hair and other related grating matlab simulation)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

optimised forwarding of wsn using fuzzy interface systms

风力发电控制器matlab仿真代码，大家一起参考学习。(Wind power controller matlab simulation code, with everyone learning.)