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work1
这是关于sharping处理的源程序，希望大家多多指教(This is dealt with on sharping source, I hope everyone exhibitions)
- 2008-01-04 16:44:28下载
- 积分：1
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zbuildpi
This program forms the complex bus impedance matrix by the method
- 2011-08-03 10:42:19下载
- 积分：1
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Blind-Source
基于超平面 欠定盲分离源信号的混合矩阵的估计(underdetermined Blind Source Separation)
- 2014-01-13 17:06:38下载
- 积分：1
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randomgen.m
A function that takes two random variables and computes their expectation value and variance.
- 2009-11-27 14:01:10下载
- 积分：1
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power_spectrum
直接法，间接法，AR普 功率谱估计,其他的自己看文档就能明白了(Direct method, indirect method, AR & P power spectrum estimation, the other will be able to understand a document that looks at)
- 2010-11-17 09:51:41下载
- 积分：1
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digital-modulation
数字信号调制样式自动识别可以识别数字信号的程序(Digital signal modulation Automatic Identification of the program can recognize the digital signal)
- 2013-04-18 21:46:30下载
- 积分：1
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DIANJI
说明： 异步电机参数的在线辨识研究/基于模型参考自适应的异步电动机转动惯量的辨识/交流感应电机的参数辨识及数字控制技术研究；基于大功率异步电机。硕士论文，对理论说明非常好，而且还有实验仿真说明(Induction motor parameter identification online research, based on high-power induction motors. Master' s thesis, a very good description of the theory, but also that the experimental simulation)
- 2009-07-30 10:17:28下载
- 积分：1
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demo_BIHT
BINARY ITERATIVE HARD THRESHOLDING CODE
- 2021-05-14 12:30:02下载
- 积分：1
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imlook3dv12
work with 3d imagen on matlab
- 2010-11-16 12:51:05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
