GMpre

lagre no of m file for matlab course code file # 3(lagre no of m file for matlab course code file# 3)

通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。(Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algorithm, also contains RPCA algorithm.)

data mining algorithms agglomerative

包含位置式PID算法、积分分离式PID，GPS和INS组合导航程序，可以实现模式识别领域的数据的分类及回归，预报误差法参数辨识-松弛的思想，车牌识别定位程序的部分功能，正确率可以达到98％。(It contains positional PID algorithm, integral separate PID, GPS and INS navigation program, You can achieve data classification and regression pattern recognition, Prediction Error Method for Parameter Identification- the idea of relaxation, Part of the license plate recognition locator feature, Accuracy can reach 98 .)

对局部放电信号去噪的性能进行评价，RMSE值越接近于1，去噪效果越好(The performance of partial discharge signal denoising is evaluated, and the closer the RMSE value is to 1, the better the denoising effect is)

详细介绍了遗传算法和群体智能算法程序设计及实例应用(Genetic algorithm and swarm intelligence algorithm was introduced in detail the program design and examples of application )

模糊聚类程序，matlab编写。能很好实现聚类操作(Fuzzy clustering procedure, matlab write. Clustering in operation well)

this is simmulation QPSK modulation in rayleigh channel

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

利用matlab对机器人避障进行仿真研究的一个小程序(Simulation of the robot obstacle avoidance)