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BPSKmodulationsimulink
BPSK 数字调制与解调 运行环境 matlab simulink(BPSK Digital Modulations and demodulations in SIMULINK.
)
- 2010-08-13 12:20:34下载
- 积分：1
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GMD_update
一种基于几何均值分解的混合预编码技术研究(Hybrid precoding based on geometric mean decomposition)
- 2020-12-25 20:39:04下载
- 积分：1
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RSSI
该方法是利用RSSI算法进行节点之间定位的一种方法。(This method is the use of RSSI between node positioning algorithm in a way.)
- 2009-05-11 11:04:45下载
- 积分：1
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danziyoudushoupozhendong
说明： 实现单自由度受迫振动，图像绘制,我们可以绘制出单自由的图像出来，供我们参考(we can use this specification for program to draw the picture,this program is writed by matlab and it is easy to understand.)
- 2011-03-08 16:05:36下载
- 积分：1
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matlab_shuxuejianmo
说明： 给大家上传一个关于matlab的数学建模实例，同是还有一些编程教程(For everyone to upload on the mathematical modeling matlab examples, the same there are some programming tutorials)
- 2008-10-19 11:40:55下载
- 积分：1
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sinx-ga
Genetic algorithm matlab code to maximise sinx
- 2011-06-28 17:06:02下载
- 积分：1
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ldyf
对流扩散方程的六点迎风格式matlab编程(Six upwind scheme convection-diffusion equation)
- 2015-07-21 16:06:51下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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firefly_simple
萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]：
萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫
吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少
如果没有比一个给定的萤火虫更亮的萤火虫，它会随机移动。
亮度应与目标函数联系起来。萤火虫算法是以自然为灵感的启发式优化算法(The Firefly Algorithm (are) Algorithm is a kind of heuristic Algorithm, inspired by the behavior of the fireflies flash. Fireflies flash, its main purpose is to as a signaling system, to attract other fireflies. The university of Cambridge, Xin- She Yang (transliteration: Yang Xinshe) professor firefly algorithm is proposed, its hypothesis in [1].
Fireflies regardless of gender, such a firefly will attract all the other fireflies
Attractive proportional to their brightness, for any two fireflies, less bright fireflies are attracted, so moving to a brighter, however, brightness and reduce with the increase of the distance
If there is no more than a given fireflies light of fireflies, it will move randomly.
Brightness should be linked with the objective function. The firefly algorithm based on natural inspiration of heuristic optimization algorithm)
- 2021-04-21 19:58:49下载
- 积分：1
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companding
companding technique for papr
- 2013-12-04 18:07:19下载
- 积分：1
