-
Test2_commande
hinfini test under matlab
- 2012-08-11 01:54:07下载
- 积分：1
-
kantao_V6.2
小波包分析提取振动信号中的特征频率，处理信号的时频分析，matlab程序运行时导入数据文件作为输入参数。( Wavelet packet analysis to extract vibration signal characteristic frequency, When processing a signal frequency analysis, Import data files as input parameters matlab program is running.)
- 2016-05-25 12:37:10下载
- 积分：1
-
MM1
MM1排队序列模拟——统计给定 平均到达率和离去率 条件下系统的平均队列长度和平均等待时间；
统计平均队列长度和平均等待时间随平均到达率 和离去率 的变化曲线
(The MM1 the queuing sequence of simulation- statistics system to the given conditions the average queue length and average waiting time easygoing statistical average queue length and average waiting time curve)
- 2013-04-17 15:53:03下载
- 积分：1
-
MTL_FDTD
matlab语言。多导体传输线之间耦合的问题！实习时编写。(matlab language. Coupling between the multi-conductor transmission line problem! When writing internship.)
- 2013-12-16 12:32:53下载
- 积分：1
-
explanation-of-noise-
这个是总结了各方面关于噪声的理解，主要是基于matlab计算信号时适用。(This is a summary of the understanding of all aspects of noise, mainly based on the calculated signal matlab apply.)
- 2011-11-09 14:56:36下载
- 积分：1
-
untitled
说明： 基于PID控制的永磁同步直线电机速度控制系统，输出速度能够较好的跟踪输入信号，控制效果比较理想(The speed control system of permanent magnet synchronous linear motor based on PID control can track the input signal better, and the control effect is ideal.)
- 2019-04-24 21:43:31下载
- 积分：1
-
fyfcv61free
实现信息网，主要包括婚介 房地产出租，二手房出租 广告位(To achieve information network, mainly including matchmaking real estate rental, second-hand housing rental advertising)
- 2009-12-03 14:57:38下载
- 积分：1
-
suijimoni1
刘宝碇《不确定规划及应用》第4章例4.3的matlab程序。内容简单，但可以有效的帮助初学者理解随机模拟的原理。(Liu anchor " uncertain Planning and Applications" in Chapter 4 Example 4.3 matlab program. Content is simple, but can effectively help beginners understand the principles of stochastic simulation.)
- 2015-03-20 10:10:49下载
- 积分：1
-
K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
-
4DQPSK
π／4DQPSK抗噪声性能仿真与分析,基于扩频和CDMA系统(π/4DQPSK anti-noise performance simulation and analysis, based on spread spectrum and CDMA systems)
- 2009-03-12 00:43:43下载
- 积分：1
