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Ch_RTT_TWT_UTD
功能：该程序用于仿真时间同步算法双向不等时间同步方法与无时漂往返校时方法（RTT）。输入：节点间距离、钟漂。输出：两幅同步误差比对图。(Features: The program for the simulation of two-way time synchronization algorithm for time synchronization methods ranging from no time when the drift from school method (RTT). Input: the distance between nodes, clock drift. Output: two synchronization errors of the map.)
- 2010-08-16 10:51:22下载
- 积分：1
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chap01_13
先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_13.rar
- 2009-07-17 21:27:47下载
- 积分：1
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Face-Detect-Software
Face recognitiion and detection system in matlab
- 2013-09-11 01:13:57下载
- 积分：1
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validity
一种层次聚类的方法，用matlab实现的源代码，可对点数据等进行聚类分析(A hierarchical clustering method, using matlab to achieve the source code, can be carried to the point of data clustering analysis)
- 2013-11-03 20:49:00下载
- 积分：1
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featureExtract
本代码是基于颜色特征的关键帧提取代码，是用matlab来实现的。(The code is based on color features keyframe extraction code is used matlab to achieve.)
- 2014-01-21 10:48:09下载
- 积分：1
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matlab-code
matlab解线性方程组的源代码
function x=nagauss2(a,b,flag)
％ 用途：选列主元Gauss消去法解线性方程组ax=b
％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程
(Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection PCA Gauss elimination method for solving linear equations ax = b% Format : nagauss2 x = (a, b, flag) for a coefficient matrix, b subguadratic column vector, if the flag is 0, then showed intermediate process)
- 2006-06-02 11:52:10下载
- 积分：1
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shujunihe
利用mean5—3平滑对曲线进行拟合，可用于摩擦系数曲线，非线性数据进行拟合(Fit the curve with mean5-3 smoothing, which can be used for friction coefficient curve and nonlinear data for fitting)
- 2020-06-25 13:00:02下载
- 积分：1
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m2
说明： 这是国外一本经典教材附带的程序，通信系统的matlab实现，所含例子丰富(This is a classic foreign materials attached to the procedures, communications systems to achieve matlab contains abundant examples of)
- 2009-05-21 20:32:53下载
- 积分：1
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DFT
介绍DFT滤波的基本步骤，很规范，很实用(DFT filter introduces the basic steps, very standard, very practical)
- 2011-05-25 16:50:25下载
- 积分：1
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Kmeans
Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于
类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used
The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)
- 2012-05-05 15:31:02下载
- 积分：1
