ninghie_v21

这是一个okumra模型的matlab编程，能够实现这个模型的算法，并计算出结果。(This is a matlab model okumra programming, be able to achieve this model algorithm, and calculate the result.)

控制理论专题实验的源码，附有实验题目和解题思路，运行结果及图像截图(Control the source of the theoretical topics experiment, accompanied by the experimental subject and problem-solving ideas, operating results and image screenshots)

buggy code for Hinf design with pole placement constrains in matlab

fisher方法的matlab程序,希望对大家有用(fisher method s matlab program, hope to benefit everyone)

This is source Matlab code for Imperialist Competitive Algorithm. This code include a guide file for user

智能算法中的遗传算法实现最优化的文件，对原始的算法有所改进(Intelligent algorithm genetic algorithm to optimize the file to the original algorithm improvements)

IEEE14节点系统参数的matlab程序，可以用于计算14节点系统潮流。(IEEE14 node system parameters matlab procedures can be used to calculate the 14-node system trends.)

本文利用软件相移技术得到相互正交的参考正弦波信号；通过互相关算法，完成了软正交矢量型LIA相关器的具体实现；利用该方法实现了对微弱信号幅值和相位的检测，有效地抑制干扰，减少了硬件电路成本。通过Matlab仿真，验证了该算法具有一定的优越性。(In this paper, the software technology is orthogonal to the phase shift of the reference sine wave signal through cross-correlation algorithm to complete the implementation of soft orthogonal vector LIA correlator achieved using this method for detecting a weak signal amplitude and phase, effectively suppress the interference and reduce the cost of the hardware circuit. By Matlab simulation show that the algorithm has certain advantages.)

说明：  噪声调频信号的产生：1、产生高斯噪声电压 2。用6极点椭圆滤波器形成噪声带宽 3。将滤波器输出送到一压控震荡器，输出即为调频噪声干扰信号(Noise FM signal generation: 1, resulting in Gaussian noise voltages 2. 6-pole elliptic filter noise bandwidth of the formation of 3. The filter output to a voltage controlled oscillator output signal noise shall be FM)

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties. )