bagPSO

这些是利用matlab仿真通信系统中的调制的一些小程序，希望有用(These are the use of matlab simulation of communication systems in the modulation of a number of small procedures in the hope useful)

说明：  关于LFM信号的匹配滤波器，程序和文献都有。(Matched filter on the LFM signal, procedures and documentation have.)

It is stbc 2x2 antenna configuration matlab code for wireless communication system.

Matlab函数edge：边缘检测.输入灰度图像，返回同样大小的二值边缘图像(Matlab function edge: edge detection. Input gray image, return to the same size of the binary edge image)

说明：  基于matlab，计算信号功率谱，调用了高阶谱分析工具箱的函数 bispecd 和 bispeci计算信号的双谱(Calculate signal power spectrum and bispectrum based on matlab)

Krivenko filter bank for glucose purposes

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

％％目标在监控区内运动轨迹为勾型曲线时的定位( Target in the surveillance zone trajectory curve for the hook when the positioning)

这个程序实现AMLE方法的图像插值。首先，通过入口从输入图像得到一定数量的水平集。起点只是自动选择的。然后，每个水平集的边界被提取出来，图像边界上的数据被记录。最后，通过使用ＡＭＬＥ扩展这些信息重建一个非常接近原图像的新的图像。(This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. The threshold values are chosen automatically. Then the boundaries for each level set are extracted, the image data on the boundaries are recorded. Finally, by using AMLE, extend those imformation to reconstract a new image, which will approximate the original one quitr well.)

利用matlab将PSO算法用来优化神经模糊网络控制器，并对比PID控制器和模糊控制器的性能结果。(Matlab PSO algorithm is used to optimize the neuro-fuzzy network controller, and compare the performance results of the PID controller and fuzzy controller.)