fit_ML_maxwell

有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。(There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.)

matlab 贝叶斯分类器+bayesian 程序(Bayesian classifier matlab program+ bayesian)

自己编写的利用matlab实现无线自组织网AODV仿真的算法源码。 为由50个节点构成的网络。在50m×50m大小的区域内，随机的产生50个节点。由用户指定源节点和目的节点，程序负责给出从源节点到目的节点的最小路径和此路径的跳数。各个节点之间设定为只要在自己直接通信范围内的其它节点，均一跳可达。(Write your own realization of the use of matlab simulation of wireless self-organizing network algorithms AODV source. The grounds of a network of 50 nodes. Size of 50m × 50m in area, randomly generated 50 nodes. By the user to specify the source node and destination node, the program responsible for the given node from the source node to the destination path and this path is the minimum number of hops. Set between each node to communicate directly as long as within the scope of their other nodes, all jump up.)

这个程序用于提取信号的包络，用以求取信号的轮廓得到信号的主要信息(This procedure is used to extract the signal envelope, to obtain the main information of the signal to strike a signal contour)

改进的分段线性表示方法，含有四种基本算法，自顶向下，自底向上，滑窗，以及滑窗式自底向上算法。是流行的降维、分类算法。改进之后，所得出的线段是连续的，解决了离散线段带来的不便。(Rewised PLR algorithms inclusing four basic methods: top down, bottom up, sliding window and sliding window bottom up. PLR is a popular algorithm for classification and demension reduction. )

结构可靠度分析模型拟合样本点数目影响下的功能函数画图，分别采用ANN和SVM模型(Structural reliability analysis model fitting function drawing under the influence of the number of sample points, respectively, ANN and SVM models)

REMOVAL OF IMPULSE NOISE USING TRIMMED MEDIAN FILTER

用于计算庞加莱截面的MATLAB的源程序(MATLAB Program for Making Poincare Section)

基于压缩感知(应用cosamp)处理二维信号(COSAMP compressed sensing using cosamp)

冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax V1.1.3，数字图像处理学习的工具(Gonzalez digital image processing matlab source version DIPUM Toolbax V1.1.3, digital image processing tools for learning)