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NonCvxGroupSparsity
Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central
(Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central)
- 2009-04-06 20:02:13下载
- 积分：1
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Program-TA
matlab script for ofdm system
- 2013-03-21 04:43:28下载
- 积分：1
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inverted-parabola
Satellite Communication System application and Problem solving
- 2013-04-13 22:05:36下载
- 积分：1
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shuangkuifenglifadian
电力系统双馈风力发电机组的建模仿真，输入渐进风、阵风、随机风、基本风四种风速进行模拟仿真。(the design and simulation analysis of power system double-fed induction generator set)
- 2018-04-26 17:09:40下载
- 积分：1
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tspwt
自己根据其他例子改编的MATLAB的GA工具箱实现TSP的程序(According to other examples of his own adaptation of the GA Toolbox MATLAB realization of TSP procedures)
- 2007-12-07 15:53:15下载
- 积分：1
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jinzitayingxiangpipeimatlabPyrTools
说明： 利用matlab软件实现对于具有一定重叠度的两幅影像（左右影像）进行金字塔算法匹配。(Matlab software for use with a certain overlap of the two images (left image) to the pyramid algorithm is matching.)
- 2011-04-10 19:49:18下载
- 积分：1
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Exercise5
Computational Building Physics and Systems 5
- 2013-02-25 19:46:26下载
- 积分：1
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RVM-class
支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误
差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推
广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过
实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)
- 2013-11-21 11:28:50下载
- 积分：1
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sso_simple
Simplified Swarm Optimization Algorithm
- 2013-05-12 22:33:09下载
- 积分：1
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xiaobo
说明： 小波改进阈值去噪，并分析去噪后信号的信噪比和均方误差(Improving threshold denoising by wavelet transform and analyzing signal-to-noise ratio and mean square error of denoised signal)
- 2019-01-14 10:21:46下载
- 积分：1
