fade

Finland Matlab cannot do regular meshes for non-regtancular regions. However, one can manually do very coarse regular meshes for these type domains. The difficulty is with the edge data e. If this data does not correspond to the orientations given by the PDEtool geometry files, refinement will not work. The function drawedges() will display the order of the edges and their segment numbers. However, this function does not tell how the edges are oriented. However, just run the visualization, and if the refinement does not work correctly, you know the problem is with the orientatino of the edge. Remember to also correct the last two rows of the matrix e when changing the orientation. (See the documentation for initmesh for more info.)

1D standard Kalman Filter (Simulink model and program

关于交互式多模型对于机动目标的研究，而且是基于UKF的，该文章比较详细。(About interactive multi-model study for maneuvering targets, and is based on UKF, the article in more detail.)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

extract regions from image

This function performs the ASK,BPSK and 8PSK modulations.

模式识别工具箱的内容非常好用，找了好久才找到的(The contents of the toolbox is very useful for pattern recognition. Lots of downloads)

LDPC译码仿真实验 程序代码 simulingk仿真(LDPC decoder simulation simulation code simulingk)

测试成功的局部均值分解算法，可应用在故障诊断中(The test successful local mean decomposition algorithm，can be used in fault diagnosis)

在matlab环境先应用编程实现PFD的功能，并对其进行分析。(MATLAB PFD desire)