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BPNN132U
超前校正环节,低界控制系统的超前控制算法,简单实用,MATLAB实现.(caoqianjiaozheng,control system.low order system,use in matlab,simple code,anyone can easy use it.)
- 2009-03-08 21:18:55下载
- 积分：1
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LDPC
It is LDPC matlab Code.
- 2010-05-30 01:39:17下载
- 积分：1
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attachments_2010_12_21
this code use to quanlize in channel/source coding
- 2012-02-08 22:47:53下载
- 积分：1
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Digital-signal-processing
应用MATLAB中的GUI进行设计数字信号处理各种运算，主要列举GUI中经常应用到的函数(MATLAB software design of the GUI digital signal processing all kinds of operation, the main list often applied to GUI functions)
- 2011-07-21 21:40:42下载
- 积分：1
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edge-and-GUI
图像边缘检测，并有gui界面的设计 有matlab程序生成exe的部分内容(detection of the image edge and establish
the gui)
- 2013-09-19 10:34:11下载
- 积分：1
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NSCT_toolbox
非下采样轮廓波变换MATLAB工具箱，包含DEMO(Nonsubsampled Contourlet transform MATLAB toolbox, including DEMO)
- 2014-11-26 09:04:40下载
- 积分：1
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makbasis
LDA 人脸识别中的 makebaisc程序段 希望对毕业设计用的到的同学有用(LDA Face Recognition makebaisc program segment would like to graduate design students used to be useful)
- 2008-12-30 18:16:04下载
- 积分：1
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Desktop
matlab软件编程数字信号处理中，dft，dfs的计算函数，以后使用直接调用就可以了(matlab software programming digital signal processing, dft, dfs calculation function, for future use can be a direct call)
- 2011-05-05 20:17:50下载
- 积分：1
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PowerScriptPowerBuilder9.011673263
PowerScript语言·事件·函数 PowerScript9.0版(PowerScript language · Events · Functions)
- 2014-10-28 17:08:53下载
- 积分：1
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elm_example
极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)
- 2013-03-29 13:05:47下载
- 积分：1
