DDWP_chopper_130522

用于计算莫尔圆，只要输入相关数据，就可以轻松得到所要求的数据，采用MATLAB编写。(Used to calculate the Mohr circle, as long as the input data, you can easily get the required data, using MATLAB preparation.)

灰色处理，预测模型，GM(1,1)一次累加(Gray processing, prediction model)

用MATLAB编程的语言，求解对TWTA的无记忆特性的描述(Using MATLAB programming language, solving for TWTA description of the non-memory characteristics)

减摇水舱对船舶参数横摇的抑制，4自由度模型，包括垂荡‘纵摇和水舱状态(The anti rolling tank on the inhibition of Parametric Rolling of ships, model of 4 degrees of freedom, including heave pitching and water tank to state )

随机蛙跳源代码，寻找最优变量，输出最小二乘回归(Random frog)

主元分析的matlab源代码，对于一个样本空间可以获得其主元成分(Principal component analysis, Matlab source code for a sample space to obtain the main element composition)

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

BPSK信号调制加上高斯噪声后的通信信道仿真(BPSK modulation with Gaussian noise signal after the communication channel simulation)

自举粒子滤波器和改进后的自举粒子滤波器的比较应用(Bootstrap particle filters and improved bootstrap comparison of the application of particle filters)

图像边缘检测及分割的matlab实现，有好几种方法，可以都学习一下(Image edge detection and segmentation of the matlab implementation, there are several ways you can both learn about)