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@graph
复杂网络分析工具包，计算Clustering Coefficient，Assortativity和全局最短路径等参数(Complex network analysis tools package, calculated Clustering Coefficient, Assortativity and global parameters such as shortest path)
- 2010-07-19 10:07:06下载
- 积分：1
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juli
三维重构计算空间距离，在图像匹配后计算得到。(Three-dimensional reconstruction calculated distance, the images calculated after matching.)
- 2010-09-09 14:36:40下载
- 积分：1
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2psk
利用matlab软件，用m文件实现信号的psk调制解调。(Using matlab software, with the realization of m document psk modem signals.)
- 2009-04-14 10:38:52下载
- 积分：1
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MATLAB-pm
实现perona-malik算法，对方程中的各个参数都进行了详细的讨论，两种扩散函数都有涉及
(Achieve perona-malik algorithm, the parameters of the equation have been discussed in detail, the two functions are involved in proliferation)
- 2011-08-02 21:24:04下载
- 积分：1
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digital-Beamforming
Application of digital Beamforming methods
- 2013-04-13 21:58:49下载
- 积分：1
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yanshe_wuzhongxin_OK
一个简单的仿真程序，仿真光学衍射现象，带光学系统参数(A simple simulation, emulation optical diffraction phenomenon, with optical system parameters)
- 2013-11-05 13:06:28下载
- 积分：1
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cdhmm
通过Matlab编程，经过提取特征参数与模板对比，可以识别0-9十个数字。(By Matlab programming, after extracting characteristic parameters compared with the template, you can identify 0-9 ten numbers.)
- 2013-11-13 22:28:58下载
- 积分：1
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User_guide_of_SOPC_experiment_based_on_matlab_and_
SOPC基于MATLAB与DSP_Builder设计技术实验使用说明(User_guide_of_SOPC_experiment_based_on_matlab_and_DSP_Builder)
- 2009-11-11 15:07:07下载
- 积分：1
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Elman
Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)
- 2015-03-26 22:36:26下载
- 积分：1
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pearson
feature selection based on pearson coffeicients
- 2009-09-07 20:16:58下载
- 积分：1
