OFDMCDMA3chaytot

我搜集的一些关于无刷直流电机建模的文章,一共4篇都是写得比较好的。(I have collected some of the brushless DC motor model on the article, a total of four are well-written.)

commande en boucle ouverte de la MADA

灰度拉伸是分段进行线性变换，对红色，绿色，蓝色三分量进行统一的分段线性变换，以增强图像对比度 (Gray-scale stretch is sub-linear transformation of the red, green, blue three-component unified piecewise linear transformation, to enhance the image contrast)

microprocessor basic theory

说明：  四阶Runge-Kutta法解常微分方程组(Fourth Order Runge-Kutta Method for Solving Ordinary Differential Equations)

能量算子的matlab实现程序及其详细算法，可用于包络解调，瞬时频率计算等方面(Energy operator of matlab realization process and its detailed algorithms, can be used for envelope demodulation, instantaneous frequency calculation, etc.)

LTE系统下行物理层链路级仿真平台，源于国外大学(LTE downlink physical layer link level simulation platform)

hi this file is about genetic programming

THIS DOCUMENT CONTAINS A MATLAB TUTORIAL WICH CONTAINS MANY FUNCTION

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)