椭圆约束主动轮廓视盘分割

采用积分分离 PID控制算法将塔顶轻组分含量Y控制在0.99 2.采用继电法整定PID参数 3.整定效果验证：当被控过程参数时变时，如滞后时间由4→8，开环增益由3.4→6时, 讨论PID控制的响应速度及鲁棒性问题，考察当系统参数发生改变时，上述PID参数是否选取合适。 (Using integral separation PID control algorithm to control the top of the tower light component content Y 0.99 2. Verify tuning PID parameters of the relay method. Tuning effect: the change When accused of process parameters, such as the lag time from 4 → 8 open loop gain from 3.4 → 6 discussed PID control of the response speed and robustness issues investigated when the system parameters are changed, the PID parameters is selected for suitable.)

该代码为利用几何不变矩提取图像几何特征的代码，用matlab编写，提取7个Hu矩为特征向量。可以用于基于内容的图像检索(The code for the image using the geometric moment invariant geometric features extracted code, written with matlab to extract seven Hu moments as features. Can be used for content-based image retrieval)

读取瑞典的雷达数据以及文件头的matlab程序，对于刚刚编写雷达数据处理的入门者来说，是个不错的参考(Read Sweden s radar data and document head matlab procedures, the preparation of radar data for the just treatment of the beginners, it is a good reference)

绝对好的！用matlab实现的车牌识别程序，包含字符提取和字符切割模块的程序和字符模板(Absolutely good! License plate recognition using matlab implementation procedures, including character extraction and character segmentation module of the program and character templates)

he value of tag could be set to any integer between 1 and 14 which correspods to the trial number of subject

descrive the block information of psat

这是一个改进的SFLA（混合蛙跳算法），使用MATLAB 实现，代码简单并且实用，欢迎下载。(This is an improved the SFLA (shuffled frog leaping algorithm), using MATLAB to achieve, the code is simple and practical, welcome to download.)

说明：  matlab GUI,包括confirm对话框和modal型图形界面的用法。(matlab GUI, including the confirm dialog box and the use of modal-based graphical interface.)

在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调(In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder)

Draws Phase Portraits