Parkingchargesystem

程序代码是DOA估计的一些基本程序（包括频率-波束响应与波束图和MUSIC算法程序），通俗易懂(DOA estimation code is some of the basic procedures (including frequency- response of the beam-beam map and MUSIC algorithm), user-friendly)

hardware implementation of digital filters for signal processor

一个很好用的粒子群优化算法matlab源代码，用来解决单目标函数优化(A good use of particle swarm optimization algorithm matlab source code, used to solve single-objective function optimization)

Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.

简单抽样函数，没有什么特别用处，最基础的matlab应用(Simple sampling function, no special use, application of the most basic matlab)

本电子书是针对初学者及中级学者对使用matlab的帮助 。(This book is for beginners and intermediate scholars use matlab help.)

能够实现几种经典的分类算法（ID3，C4.5等）(It can inmplement several classic classification algrorithm(ID3，C4.5,etc.))

NSA－实数负选择 RSA －时间序列异常检测－ECG时序数据(negative selection algorithm － for time series ECG abnormal detection)

Lorenz_MatlabCode,分形几何中提出的洛仑兹分形，生成图，matlab源代码(Lorenz_MatlabCode, fractal geometry of the Lorentz proposed fractal, generated map, matlab source code)

K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。(An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.)