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36912640PSO
改进的pso算法（3个m文件和一个说明文件）： 本算法实现Clerc and Kennedy 2002年对pso算法的重要改进-Improved PSO algorithm (Improved PSO algorithm (3 m documents and a note): This algorithm Clerc and Kennedy 2002 years, the importance of improved PSO algorithm
)
- 2011-10-27 00:28:09下载
- 积分：1
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Rectifier_spwm2
Three phase rectifier open loop operation demonstrated. 3 Leg converter use SPWM to produce DC output.
Features:
- Ability to control output dc voltage by varying the modulation index
- Optional feature to inject 3rd Harmonic Injection if required.
- Automated post simulation plots to demonstrate input & out voltages.
- 2013-12-20 14:23:12下载
- 积分：1
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BifilarPendulumRelease1.0
这里有一个用matlab，simulink编的动态系统分析与控制设计(There is a use matlab, simulink made dynamic analysis and control design)
- 2008-06-01 11:40:43下载
- 积分：1
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xiaochuqushixiang
一个数据预处理过程中消除多项式趋势项的程序(this is a program about eliminating polynomial trend)
- 2009-06-01 21:33:27下载
- 积分：1
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2
地震数据通常含有噪音，通过该方法可以去除地震数据中的噪音，更好的反演结果(Seismic data usually contains noise, the method can remove the noise in the seismic data, better inversion results)
- 2013-12-25 08:41:36下载
- 积分：1
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SAMPLE1
对于属性节点进行一定的分析，得到属性节点使用的范例。(attribute node)
- 2014-01-07 13:51:23下载
- 积分：1
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cdma
编写了MATLAB程序生产和扩频码进行仿真，仿真程序从发送方完成通道的接收端，得出在不同的扩频码，在不同的信噪比即误码率的图形比较直接序列扩频通信系统原理，改善系统性能的度(Written MATLAB program to produce and direct sequence spread spectrum communication system principle of spreading codes for simulation, emulation program to complete the channel from the sender to the receiver end, draw graphics comparison at different spreading code, the bit error rate under different SNR i.e., the degree of improvement of the system performance)
- 2014-05-10 12:04:24下载
- 积分：1
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fc0
完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序(Genetic simulated annealing algorithm)
- 2012-03-31 19:54:13下载
- 积分：1
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histogram-in-many-ways
i am uploading the code for convolution in matlab
- 2012-04-11 22:35:45下载
- 积分：1
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GM_EM
不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elementary usage:
GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of
clusters. Algorithm follows steps outlined in Bishop
(2009) Pattern Recognition and Machine Learning , Chapter 9.
Additional inputs:
bn_noise- allow for uniform background noise term ( T or F ,
default T ). If T , relevant classification uses the
(k+1)th cluster
reps- number of repetitions with different initial conditions
(default = 10). Note: only the best fit (in a likelihood sense) is
returned.
max_iters- maximum iteration number for EM algorithm (default = 100)
tol- tolerance value (default = 0.01)
Outputs
idx- classification/labelling of data in X
mu- GM centres)
- 2013-03-28 12:26:37下载
- 积分：1
