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MPAM
simulink框图来实现多进制PAM调制(simulink block diagram to realize the M-ary PAM modulation)
- 2007-10-11 10:30:10下载
- 积分：1
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speech_recognition_based_on_HMM
基于hmm的matlab程序，能够识别0—9十个数字(Hmm based on the matlab program, be able to identify dozens of figure 0-9)
- 2009-03-28 17:43:57下载
- 积分：1
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nutrient
nutrient prediction for baby.
this function can predicted baby nutrient with 90 accurated
- 2013-08-26 16:09:37下载
- 积分：1
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机器学习基础教程 matlab代码+数据
机器学习matlab实现，是机器学习基础教程的程序实现(implementation of Machine learning using matlab, Refference book name is basic course of machine learning program implementation)
- 2020-07-08 00:08:57下载
- 积分：1
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3.Solaris10_advanced
Solaris 2.6以后，SUN删除了版本号中的"2"，因此，SunOS 2.10就叫做Solaris 10。 Solaris的早期版本后来又被重新命名为Solaris 1.x(After Solaris 2.6 , SUN deleted version number "2" , therefore , SunOS 2.10 is called Solaris 10. Earlier versions of Solaris later was renamed Solaris 1.x
)
- 2014-01-28 22:26:41下载
- 积分：1
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dbscan-matlab
matlab 实现基于dbdcan的聚类算法，帮你在matlab中简易的实现了解( it helps you study cluster alogroim in the matlab )
- 2013-10-03 11:47:18下载
- 积分：1
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Mexp_equal
实现改进的超指数盲均衡算法，纠正了原算法不能纠正相位偏转的缺点(realize the MSEI algorithm, improved the original SEI algorithm and corrects the phase error)
- 2013-03-19 12:33:09下载
- 积分：1
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EKF
已知地震加速度记录，运用快速傅里叶变换求加速度的傅里叶谱。(Known earthquake acceleration records, the use of a fast Fourier transform seek acceleration Fourier spectrum.)
- 2012-09-11 20:53:41下载
- 积分：1
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ksvd
基于混合基稀疏图像表示的压缩传感图像重构 (Compressed sensing sparse image)
- 2015-01-13 22:03:20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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