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hipr
使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method.
See
Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem,"
J. ACM Vol. 35, 921--940, 1988
and
Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the
Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)
- 2009-11-23 11:00:19下载
- 积分：1
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CDMA_fenji
用MATLAB语言仿真实现CDMA系统中开环下发射分集的系统性能仿真(using MATLAB Simulation CDMA system under open-loop transmit diversity of system performance simulation)
- 2007-03-19 16:01:29下载
- 积分：1
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Algo
matlab开发的多种技术分析交易策略及其测试(matlab development of a variety of technical analysis trading strategies and test)
- 2011-07-11 02:10:31下载
- 积分：1
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Crtanje-dijagrama-zracenja
simulations of adaptive algoritams and dravinsgs of sine wave for those alkgorithms
- 2013-03-18 05:41:57下载
- 积分：1
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work
模式识别中的K均值算法，对数据进行归类。程序中，使用了二维数据进行分类。通过修改参数，也可以支持三维或是更高维数的分类。(the K-means algorithm for Pattern Recognition )
- 2009-02-28 15:18:51下载
- 积分：1
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netcover
利用matlab求解网络覆盖问题，代码可以直接运行(Network coverage using matlab to solve the problem, the code can be run directly)
- 2010-12-08 12:51:54下载
- 积分：1
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array
说明： matlab code for array
- 2011-03-22 00:52:05下载
- 积分：1
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Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
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globalgenerate
在MATLAB环境中，产生地球图形，可以转动的哈！ 祝你好运
(generat a global)
- 2009-04-08 18:01:49下载
- 积分：1
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OFDMbymatlab
matlab 对OFDM的仿真 附有源代码及详细的说明文档(matlab simulation of OFDM with source code and detailed documentation)
- 2010-10-25 18:17:48下载
- 积分：1
