face_detection

说明：  雷达目标航迹跟踪，运行函数main_test，进行雷达数据处理，最终显示航迹；(Radar Target Tracking，Run the function main_test, the radar data processing, the final display track )

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

TSP simulated annealing matlab code

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.)

内包括MATLAB初步学习资料，可对初学MATLAB的朋友有一些帮助(Includes MATLAB preliminary study can be found on the MATLAB beginner' s friends have some help)

用matlab实现简单的卡尔曼滤波功能，(Using matlab to achieve a simple Kalman filtering)

定制神经网络的实现——神经网络的个性化建模与仿真(Artificial Neural Networks matlab)

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

计算“高位平面图像”的伪Zernike矩（低 6阶），并作为特征。(Computing " high dimensional images," the pseudo-Zernike moments (low order 6), and as a feature.)

qam 16 reseiver diversity matlab file