full_bridge_V2

说明：  线性调频信号测距的程序以及实现操作，主要是matlab进行操作(LFM signal ranging procedures and implementation of the operation, mainly matlab operation)

这是用matlab实现的多站定位系统性能仿真的源程序，希望对研究定位的人有所帮助！资源共享，也希望有关 于无源定位、多普勒信息提取方面代码的人共享一下，一起进步！(This is achieved using matlab multi-station positioning system performance simulation of the source, I hope the study will help position the person! The sharing of resources, but also on the passive positioning, Doppler information extraction area to share some code with the progress!)

HSV颜色直方图的小例子，可以显示三个通道的二维灰度图像，以及它们各自的直方图。(color histogram demo)

精通MATLAB参考源码第九章，喜欢MATLAB和神经网络的可以好好学习下，绝对的好资源！(Chapter IX proficient MATLAB reference source, like MATLAB and neural networks can learn, the absolute good resource!)

k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype

遗传算法 二进制编码 求历代best 显示图形(Successive binary coded genetic algorithm find best display graphics)

calculate average in Matlab

SystemC官方最新资料，出自IEEE计算机协会，由设计自动化委员会资助。(SystemC latest official information the IEEE Computer Society, funded by the Design Automation Committee.)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

用于人脸识别的NMF分解程序，用MATLAB编写的(face recognition for the NMF decomposition process, the preparation of MATLAB)