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3DMIMOchannel--3DMIMO
3D-MIMO信道模型 仿真代码 可由此建立LTE现今采用的3DMIMO模型(3D-MIMO channel model simulation code can thus establish 3DMIMO model today adopted LTE)
- 2021-04-13 15:08:56下载
- 积分:1
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Glzy8_5839_209_ppt
time frequency analysis
- 2010-09-01 17:14:54下载
- 积分:1
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RLS_RF2
利用自适应RLS算法消除信号中的工频干扰,纯净信号选为数字调幅信号8ASK,工频干扰为一余弦信号,滤波后取得的很好的效果。(Adaptive RLS algorithm for the elimination of the use of signal-frequency interference, and pure signal selected as the digital AM signal 8ASK, power-line interference is a cosine signal, after filtering achieved very good results.)
- 2008-06-04 14:11:44下载
- 积分:1
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SPIE2011_stego_design_v0.9
信息隐写 构造完美矩阵编码嵌入
SPIE2011_stego_design_v0.9(Information steganography construct the perfect matrix coding embedded)
- 2012-08-31 10:02:00下载
- 积分:1
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stiffODE
stiff ODE solver for set of equations
- 2011-08-31 08:49:30下载
- 积分:1
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BA_net
BAnet实现代码,并且保存成txt文件。(BAnet implement code use matlab,and save as a txt file ,you also can translate other language using this code
it must be useful,)
- 2013-01-27 23:35:26下载
- 积分:1
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aab1
this is a code for color seegmentation
- 2015-04-03 15:01:04下载
- 积分:1
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Ischemic
说明: 脑皮层缺血模型模拟。可以模拟在脑皮层组织缺血情况下细胞外钾离子浓度变化情况(Cortical ischemia model simulation)
- 2010-04-16 09:37:52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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Bidegaray-Fesquet-Hierarchie_de_modeles_en_optiqu
Lecture MATLAB simulations, it is suitable for beginners
- 2010-11-10 11:07:30下载
- 积分:1