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MIMLdros
包括MATLAB的代码:MIMLSVM+和E-MIMLSVM+(MIMLdros includes the MATLAB codes of MIMLSVM+ and E-MIMLSVM+ which are MIML algorithms that have been applied to drosophila gene expression pattern annotation. The package contains a Readme file which explains how to use it.)
- 2011-05-12 16:26:52下载
- 积分：1
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panchaslasttimeprojectmaterial_
Specch Recognition system using MATLAB. It includes Viterbi Forwarding and backtracking Algorithm . First it includes Feature Extraction and then Feature Matching
- 2009-04-18 01:05:42下载
- 积分：1
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Simplex-method-matlab
文档中包含算例和它的单纯形法MATLAB程序(Examples of the simplex method program design and calculation
)
- 2012-04-13 09:44:57下载
- 积分：1
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test_main
matlab partial code for reference purpose
- 2010-11-13 19:10:45下载
- 积分：1
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base11111111
基于常规方法的波束形成 有3个信号入射方向(Three signals incident direction based on the conventional beamforming)
- 2012-08-04 17:42:11下载
- 积分：1
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Answer
2011年大学生数学建模竟赛A题答案（Matlab程序和数据文件）(2011 Mathematical modeling of race A question the answer (Matlab programs and data files))
- 2011-10-28 09:24:36下载
- 积分：1
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Coded-OQAMOFDM
help full code for coded OQAM OFDM
- 2020-07-02 18:40:01下载
- 积分：1
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ss2_edited
scrambling and reassembling an audio file!
- 2014-10-27 17:14:30下载
- 积分：1
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psnr_nmse_rms
通过matlab编写的几个关于PSNR、mse的图像处理的小程序(Several small program written by matlab about PSNR, mse image processing)
- 2015-10-29 14:17:05下载
- 积分：1
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gongetidufadshuzhixingzhi
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(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
