Bidirectional-RRT

this is simmulation 64-qam modulation in rayleigh channel

5中不同目标函数的ICA方法，这是本人一个多月的心血，希望对大家有帮助。(5 different objective function ICA method, which is I am more than a month of hard work, we hope to help.)

细胞分割 分水岭算法 白细胞 红细胞 细胞计数 matlabGUI(White blood cell segmentation watershed RBC cell count matlabGUI)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

this is a good file for GME study

一款用于无刷直流电机的起动和发电一体化simulink仿真模型。(A brushless DC motor used for starting and power generation simulink simulation model integration.)

主成分分析程序实现数据降维，能用比较少的变量解释大部分资料中的变异的几个新变量(Several new variables principal component analysis procedures to achieve data dimensionality reduction, most of the information in the variation can be explained by the relatively few variables)

voltage flicker estimation using ESPRIT

Subcarrier allocation in mimo-ofdma

MPC with model references