polar

这是本人下载和编译过的关于大津法二值化的matlab代码，效果比较好，可以作为分割的有效辅助(This is, I downloaded and compiled on the Otsu binarization method of matlab code, the effect is better, can be used as an effective auxiliary partition)

face recognition source code for matlab and high recognition rate

门限自回归模型,利用MATLAB求解门限自回归模型,利用MATLAB求解(menxian zi huigui moxing)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

Rebel工具包matlab工具箱,对学习matlab很有帮助(Rebel kit matlab toolbox matlab helpful for learning)

MATLAB调用HFSS，混合编程，模型建立部分(model when the matlab is used in HFSS)

微粒群算法的计算程序，用来计算非线性优化问题。(a matlab PSO program for computing nonlinear optimization problem)

蜂群算法之函数寻优，matlab编写，旨在寻找函数最优解。在大约相同的耗时下，BSO的收敛条件比PSO苛刻，即BSO更容易收敛；收敛位置上，PSO优于BSO，不论是平均情况还是最差情况。(Bee Search Optimization)

说明：  将模糊自适应控制与PID控制算法结合起来，建立模型并利用simulink进行仿真。(Combining fuzzy adaptive control with PID control algorithm, the model is built and simulated in simulink.)

mpu6050模块测试，mpu6050的测试程序，用于读取mpu6050的测试值，简单作为大家的参考资料(mpu6050 test procedures，mpu6050 test program for reading test values ​ ​ mpu6050 and simple as a reference for everyone )