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119128664bayes_classifier
贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．(Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share)
- 2009-05-29 16:30:09下载
- 积分：1
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NN_num
说明： 神经网络的数字识别程序。神经网络的数字识别程序(Neural networks in digital identification procedures. Neural networks in digital identification procedures)
- 2010-03-31 20:30:05下载
- 积分：1
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gailvtongji_tools
主要是matlab概率统计工具箱的介绍.(mainly statistical probability of Matlab Toolbox presentation.)
- 2007-03-24 14:37:01下载
- 积分：1
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LSP1
LSP EXTRACTION BY MATLAB BASIC
- 2011-11-08 13:04:33下载
- 积分：1
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lagmatrix
LagMatrix Function - matlab - Useful Econometrics Tool
- 2014-01-04 02:16:53下载
- 积分：1
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kaam_ki_cheez
The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)
- 2009-12-05 17:14:58下载
- 积分：1
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IDW_matlab
IDW（距离权倒数插值法）是空间插值中最常用的插值方法之一。本程序基于MATLAB开发，功能齐全，希望用得开心。(IDW (interpolation from the bottom right) is the most commonly used spatial interpolation of the interpolation methods. The program is based on MATLAB development, full-featured, in the hope joy.)
- 2010-01-17 17:22:24下载
- 积分：1
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fdv41
说明： 使用Gabor-Feature 的人脸检测matlab程序，自带测试图像(Face Detection using Gabor-Feature Extraction and Neural Networks)
- 2009-07-30 10:03:41下载
- 积分：1
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denoisingFilters
denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned
filters, it is become obvious clear that for the given noisy image the Min filter acted much better than
the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third
good result respectively. That is way can conclude that the existing noise in the given image was Salt
noise.
- 2013-12-11 17:12:40下载
- 积分：1
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bianpojiegousheji3
本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)
- 2014-01-10 17:36:46下载
- 积分：1
