Matlab_PDE

这个程序详细描述了换热网络冷热复合曲线的画法以及最小冷公用工程、最小热公用工程和夹点温度的求法。(This program details the hot and cold composite curve heat exchanger network of painting and the minimum cold utility, the minimum heat utilities and Method pinch temperature.)

GRNN的数据预测：基于广义回归神经网络货运量预测中的源程序及数据(GRNN data to predict the source program and data forecast generalized regression neural network based on the amount of cargo 分享到： 2.5万)

Rayleigh Fading Channels in Mobile Digital Communication Systems Part II: Mitigation

急性白血病的基因表达谱分析与亚型分类特征的鉴别(Analysis of gene expression in acute leukemia subtype classification and identification of characteristics)

蚁群算法是一种新型模拟进化算法，次程序是 解决旅行商问题，matlab程序，很实用(Ant colony algorithm is a new type of simulated evolutionary algorithm, program is To solve traveling salesman problem, matlab, very practical )

最小二乘ESPRIT (LS-ESPRIT)的Matlab实现与相关性能分析，直接由特征值确定DOA，大大减少了计算量；不需要精确知道阵列流型向量，对阵列校准要求不严格。(analysis and performance to LS-ESPRIT achieved by the Matlab, DOA value is determined directly by the characteristics, greatly reducing the amount of calculation do not need to know the exact array manifold vectors, not strictly on array calibration requirements.)

Implements Minimum Search Tree using Kruskal Algorithm

现代社会发展要求通信系统功能越来越强，性能越来越高，构成越来越复杂；另一方面，要求通信系统技术研究和产品开发缩短周期，降低成本，提高水平。这样尖锐对立的两个方面的要求，只有通过使用强大的计算机辅助分析设计技术和工具才能实现(Social development of modern communication systems require increasingly strong, the performance is getting higher and higher, which constitute more and more complex On the other hand, communications systems technology research and product development to shorten the cycle, reduce costs, improve the level. This in sharp opposition to the two requirements, only through the use of powerful computer-aided analysis and design techniques and tools can be achieved)

a bit creepy curve segmentation

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)