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SARSignalProcessingMATLABAlgorithms
雷达信号处理matlab仿真处理程序合计(包含各种雷达处理子程序)(Simulation of radar signal processing matlab total treatment program (including a variety of radar deal Subroutine))
- 2009-03-30 22:54:37下载
- 积分:1
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SPATIAL-SMOOTH-MUSIC
空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)
- 2013-09-11 09:33:20下载
- 积分:1
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ant-optimization-matlab
matlab 改进蚁群算法,应用简单广泛。(ant optimization)
- 2014-02-19 07:43:58下载
- 积分:1
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ant
matlab蚁群算法求解TSP问题,可直接运行,人工智能作业。(matlab, ACO for TSP.)
- 2014-03-27 11:23:30下载
- 积分:1
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CellularAutomatacode
基于MATLAB环境的元胞自动机示例程序(MATLAB-based environment, cellular automata sample programs)
- 2010-01-01 23:00:22下载
- 积分:1
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edfaEr
掺铒浓度与小信号增益的关系
掺铒浓度与光纤长度的关系(Erbium-doped concentration and the relationship between small-signal gain)
- 2010-05-19 09:42:53下载
- 积分:1
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mat2acad3
matlab程序,可将matlab中计算的曲面保存为AutoCAD的脚本文件,导入AutoCAD中绘制相应曲面。(matlab program matlab calculate the surface to save the AutoCAD script file, import the corresponding surface is drawn in AutoCAD.)
- 2012-05-29 19:26:14下载
- 积分:1
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RS232-Communication
RS232 comunication by Matlab GUI
- 2010-11-25 16:20:40下载
- 积分:1
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dcts
dct变换离散余弦变换(Discrete Cosine Transform,简称DCT变换)是一种与傅立叶变换紧密相关的数学运算。在傅立叶级数展开式中,如果被展开的函数是实偶函数,那么其傅立叶级数中只包含余弦项,再将其离散化可导出余弦变换(Discrete Cosine Transform)
- 2012-06-23 10:24:28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