phase_shift_deadtime

ML的方法在ofdm中的应用，是最大似然在ofdm中的仿真(ML method ofdm application is the maximum likelihood in the simulation ofdm)

MATLAB语言完整命令代码集 (MATLAB language complete command code set)

3d model conversion using matlab

image segmentation in multiobjects

It is mainly used for fingerprint recognition in matlab

传统遗传算法、改进遗传算法、在神经网络建模中应用(Traditional genetic algorithm, improved genetic algorithms, neural network modeling applications)

说明：  电力系统常用软件的介绍，很有针对性，适合新手了解方针方面的知识。(Power system commonly used presentation software, and objects)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

说明：  通过matlab实现高斯回归功能，实现对目标函数的预测，希望对大家有所帮助(Through MATLAB to achieve Gaussian regression function, to achieve the prediction of the objective function, I hope to help you)