shuzhijifen

用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序.(Using matlab based on the Bayes minimum error rate classifier simulation, the preparation of the corresponding program.)

说明：  关于压缩感知理论综述性的中文期刊论文，包括理论原理与应用，以及该理论的研究现状和公开性问题等。(Review on the theory of compressed sensing of Chinese journal articles, including theoretical principles and applications, and research status of the theory and openness issues.)

永磁同步电机速度伺服控制 四种方法 DEE s函数 simulink 建模(Permanent Magnet Synchronous Machine )

基于matlab的彩色图像分割，方法是K-means聚类分割(Matlab-based color image segmentation method is K-means clustering segmentation)

使用MVM算法实现信号的方位角估计 得出算法性能(MVM algorithm using signal azimuth estimation performance of the algorithm derived)

利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号(Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG)

TabBarCustom (所有TabBar之间切换)，精选ios编程学习源码，很好的参考资料。(TabBarCustom (switching between all TabBar), selection of learning IOS programming source code, a good reference.)

本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).)

说明：  基于matlab搭建PMSM基础控制模型，采用双环PI控制策略。(PMSM basic control model was built based on matlab, and double-loop PI control strategy was adopted.)

图像阈值分割技术在图像分割中具有重要的意义。遗传算法既可以对全局信 息高效利用，也减少了存储空间和计算量。利用遗传算法的优点，提出了一 种用改进遗传算法的图像分割的方法，可以将父代中适应度大的个体代替当前代 中的个体，保证了可以选出最优的个体。遗传算法是具有鲁棒性和自适应性的搜 索方法.通过实验对比，表明该方法具有快速、稳定分割的特点。(Image threshold segmentation technology is of great significance in image segmentation. Genetic Algorithms can be used for global information Efficient utilization of information also reduces storage space and computation. Based on the advantages of genetic algorithm, a new genetic algorithm is proposed. A method of image segmentation based on improved genetic algorithm can replace the current generation with individuals with large adaptability in the parent generation. The individual in the system ensures that the best individual can be selected. Genetic Algorithms are Robust and Adaptive Search The experimental comparison shows that the method has the characteristics of fast and stable segmentation.)