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adapt_filt_tworef
lms source code for adaptive filtering the acoustic noise.
- 2009-09-22 09:58:45下载
- 积分：1
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MATLAB
Matlab命令大全，可以找到几乎全部的Matlab命令，是新手学习Matlab不可缺少的材料(Matlab command Daquan, can be found in almost all of the Matlab command, a novice to learn the material indispensable for Matlab)
- 2009-12-19 12:10:39下载
- 积分：1
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suiji
能一次性产生多组随机数。如果有些数字不想产生可以动态地剔除。可以控制产生随机数的范围，个数。功能很强大，交互式！(Can produce a one-time multiple sets of random numbers. If some do not want to produce can be dynamically removed. can control to produce the range of random numbers, the number of Very powerful, interactive)
- 2012-03-22 10:26:29下载
- 积分：1
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Dijkstra
Dijkstra算法（最短路径法）的matlab应用程序(Dijkstra algorithm (shortest path method) of matlab applications)
- 2010-05-26 15:35:32下载
- 积分：1
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pc
说明： 光子晶体带隙计算的例子，以前在3.5版本模型库里面有，但是4.2里面么了，希望对大家有所帮助。(Photonic band gap calculation example, the previous 3.5 version of the model library in there, but what a 4.2 inside, we want to help.)
- 2011-10-20 22:25:11下载
- 积分：1
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Chapter-23--Modern-optimization
关于启发式算法的简单介绍以及实例应用分析(A brief introduction of Heuristic with examples.)
- 2011-08-23 21:28:52下载
- 积分：1
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CSA
CSA 1directional for motion estimation
- 2014-10-25 23:05:04下载
- 积分：1
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MATLAB
MATLAB基础视频教程系列代码及课件
21世纪电子论坛出品(MATLAB based video tutorial series code and coursewareIn twenty-first Century produced electronic forum)
- 2012-10-20 13:29:40下载
- 积分：1
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GM
说明： GM(1,1)，DGM，RDGM，P_DGM,P_RDGM模型算法Matlab程序，其参数用粒子群优化算法PSO进行取值，PSO的相关程序也包括其中，result程序给出了相关例子。(GM (1,1), DGM, RDGM, P_DGM, P_RDGM model algorithm Matlab program, its parameters were PSO PSO value, PSO related program also included, result program gives relevant examples.)
- 2015-08-22 21:18:08下载
- 积分：1
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ar_g
PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model
imposing stability restrictions using Gibbs sampling
y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E,
E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T),
V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k)( PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model
imposing stability restrictions using Gibbs sampling
y = b0+ y(t-1) b1+ y(t-2) b2+,...,y(t-k) bk+ E,
E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T),
V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k))
- 2012-04-28 03:36:11下载
- 积分：1
