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Alamouti
This is a function that simulate the Alamouti Space-Time scheme and plot a BER vs SNR graph.
- 2013-11-17 02:15:45下载
- 积分：1
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K-means
K均值算法描述：
给定类的个数K，将N个对象分到K个类中去，
使得类内对象之间的相似性最大，而类之间的相似性最小。(K-means algorithm described: a given number of classes K and N objects assigned to the K-th class, so that objects within the class of the similarity between the maximum, while the similarity between the minimum class.)
- 2013-04-11 11:04:17下载
- 积分：1
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modern_communications_system_analysis_and_simulati
说明： 电子书包涵了通信系统理论、通信系统工具箱、MATLABA通信系统库函数记忆通信工具箱仿真模块和通信系统分析与设计实例~~ (E-book encompasses communication systems theory, communication systems toolbox, MATLABA communication systems Communications Toolkit library function memory modules and communication system analysis and simulation design example ~ ~ )
- 2010-04-15 11:47:08下载
- 积分：1
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Matlab-SPV
Power electronics and control in grid-connected PV systems
- 2011-04-20 16:36:09下载
- 积分：1
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demo_rbpf_gauss
PF and RBPF for conditionally Gaussian JMLS.
(PF and RBPF for conditionally Gaussian JML S.)
- 2006-12-06 18:19:33下载
- 积分：1
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OFDM
说明： 一个OFDM仿真程序，包含matlab源文件。(An OFDM simulation program, including the matlab source.)
- 2010-04-21 23:26:33下载
- 积分：1
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genetic_code
optimal placement dg in electrical network
- 2020-11-26 23:39:31下载
- 积分：1
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Matlab
HHTspe HHT谱计算程序，不是rilling版本，用改进的Hilbert变换(HHTspe HHT spectrum calculation program, not rilling version, using a modified Hilbert transform)
- 2010-11-11 16:23:28下载
- 积分：1
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cosamp2d
基于压缩感知(应用cosamp)处理二维信号(COSAMP compressed sensing using cosamp)
- 2021-04-13 18:58:56下载
- 积分：1
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FR
说明： 共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分：1
