DIGITAL

这是一系列Quality Center学习的资料，很详细的。(This is a series of Quality Center to learn the information, very detailed.)

Slotted ALOHA anti-collision algorithm

说明：  matlab通过OLEDB方式读取数据库中的数据（Access版）(matlab way through the OLEDB to read data in the database (Access version))

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.)

matlab卷积码编译码译码器设计仿真，做毕业论文很有参考价值(matlab convolutional code decoder codec design simulation, doing thesis of great reference value)

open loop model for dc motor....

说明：  频谱分析，能够有效识别信号中的频率成分，适用于DSP课程设计(Spectrum analysis, which can effectively identify the frequency components in the signal, is suitable for DSP curriculum design)

无约束多维极值问题,适合数学计算,优化分析等极值问题的求解(Unconstrained multi-dimensional extremum problem, is suitable for mathematical calculations, the extremum problems of solving optimization analysis, etc )

matlab语言开发的国际象棋游戏，功能强大。(matlab language development of the international chess game, and powerful.)

用MATLAB在M文件里编写连续谱密度函数(matlab)