MATLAB_game

应用于matlab支持向量机svm的工具箱(Applies to support vector machine SVM matlab toolbox)

说明：  递推最小二乘 辩识算法,算法简单易懂,按照系统辩识与自适应书上的算法编写(Recursive least squares identification algorithm easy-to-read, in accordance with the system identification and adaptive algorithm for the preparation of a book)

利用PSO算法优化SVM向量机参数。测试指标为MAPE和均方根误差。(Optimization of SVM Parameters by PSO Algorithm. The test indexes are MAPE and root mean square error.)

matlab 独立像素元，计算图像景象匹配中独立像元素(Matlab independent pixels, computing the image scene matching the independent elements)

GMSK_MSK调制解调系统,GMSK_MSK调制解调系统(modem of GMSK and MSK system，modem of GMSK and MSK system)

摩托罗拉 hc908sr12的开发代码 codewarrior软件开发的(Motorola hc908sr12 development code CodeWarrior software development)

A Novel Concept of Simultaneous Voltage Sag/Swell and Load Reactive Power Compensations Utilizing Series Inverter of UPQC

通信系统设计，数字带通传输系统仿真Matlab代码 1. 比较BPSK与QPSK两种调制方式的误码率和误比特率性能（注意QPSK的误码率不同于误比特率），横坐标为SNR，并与理论曲线比较，分析解释仿真图。 2. 要求使用Matlab/C语言/Matlab-simulink中的任一种工具实现。 3. 代码中每个模块都要有详细注释说明。 (Communications systems design, digital bandpass transmission system simulation Matlab code 1. Comparison of BER QPSK and BPSK modulation methods and bit error rate performance (note QPSK error rate is different bit error rate), the horizontal axis is SNR, and compared with the theoretical curve, analysis and interpretation of simulation map. 2. requires the use of Matlab/C language/Matlab-simulink any one tool to achieve. 3. The code of each module must have a detailed explanatory notes.)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)

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