simulation-control-project-in-matlab

这是一篇关于压缩检测的文章，稳重利用压缩感知的方法来解决通信系统中二元信号检测问题。(This is an article about the compression test, steady use of compressed sensing approach to solve the communication system with binary detection problem.)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

说明：  其路由优化包括能量收集，频谱感知和数据传输，DE最优算法等(Its routing optimization includes energy collection, spectrum sensing and data transmission, de optimal algorithm, etc)

this code is skin color detection algorithm

用MATLAB2008A编写的主成成分分析(MATLAB2008A prepared by Principal Component Analysis)

基于copula函数求资产组合的风险VaR(Matlab copula VaR)

Displacement recovery for MLS method and compute stress from "An Introduction to Meshfree Methods and Their Programming [G.R. Liu, Y.T. Gu] " the orginal code is in fortran but this code is in matlab

数字水印中，对于水印的置乱方法：Arnold置乱，通过改变像素点的位置增强水印的鲁棒性(Digital watermark, the watermark scrambling for ways: Arnold scrambling, by changing the position of pixels increase the robustness of the watermark)

FIND_COMPONENTS_EXAMPLE gives an example usage of find_components

二维声波传播过程模拟，采用一定合适的吸收边界条件(2D acoustic propagation simulation with PML boundary)