lab

PDETOOLBOX工具箱在偏微分方程中对圆形边界的实例应用(The toolbox in partial differential equations PDETOOLBOX circular boundary instance applications)

语音合成线性比例重叠相加法-语音合成线性比例重叠相加法(Speech synthesis is linearly proportional to the overlap-add method- Speech synthesis is linearly proportional to the overlap-add method)

无约束连续函数优化的人工蚁群算法通用MATLAB源码 此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解 (Unconstrained optimization of continuous function of artificial ant colony algorithm for general-purpose MATLAB source code。 This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into the unconstrained model, then use the origin codes solving)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

matlab使用手册,非常实用,超级好用. (matlab manual, very practical, super-easy to use.)

说明：  低密度奇偶校验码（LDPC）的matlab仿真(Low Density Parity Check (LDPC) of matlab simulation)

一种基于和声搜索算法的配电网重构算法，并在IEEE33节点上进行算例的验证。(Harmony search algorithm based distribution network reconfiguration algorithms and validate numerical example in IEEE33 node.)

视频对象分割，针对电影视频流语义对象分割及语义标注(object segmentation)

ofdm fu hao fangzhen (ofdm fangzhen)

一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:数据.txt ) 这里的D是你存储数据的位置(A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D: data.Txt) where D is your data storage location)