Matlab-M-File02

This submission contains 3 examples to illustrate the change in peak time, settling time and percent overshoot as the poles of a 2nd order system move horizontaly,

this is a matlab fle that contains a simlin simulaion of a smart grid powered by a photovoltaic planels

Codes .M object detection with matlab. Create the list of detections D for the images referenced in the G list Tickets Detector File contains the address of the detector file, Xml extension G List of rectangles of objects that are really in the images Visualization is a var. Boolean that enables or disables the display of The detected rectangles and the real objects in the images. Departures D List of detections rectangles Note 1: G and D are a standard structure for listing rectangles Field 1: imageFilename Field 2: objectBoundingBoxes Note 2: press spacebar to jump to the next image

实验三、四阶Runge-Kutta法求解初值问题，是我的实验报告。(The third experiment, fourth-order Runge-Kutta method to solve initial value problems, is my lab report.)

用于matlab环境下读取指定目录下的图像(Environment for matlab to read the image under the specified directory)

说明：  matlab写的一个模拟人运动的程序，有15个控制点，5个运动形态(matlab write a simulation program of the movement, there are 15 control points, five movement patterns)

Fang算法利用三个基站对信号源位置进行二维的定，是信号源无源定位的一种基本方法。本程序基于MATLAB，对Fang算法定位的过程进行了仿真。希望能对研究无源定位的同志给予帮助。(Fang base algorithm uses three-dimensional location of the source fixed, the signal source is a basic method of passive location. The program is based on MATLAB, Fang algorithm for the simulation process of positioning. Hoping to study passive positioning of the comrades for help.)

语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！(voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!)

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))

用于计算谱相关函数的频域平滑算法，可改参数，改输入信号类型(calculate spectral correlation function by using frequency smoothing Algorithm, you can change the parameters, and the type of input signal )