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mimo4
This program implements equation (2.26) using the waterfilling
algorithm
- 2010-08-24 19:24:45下载
- 积分:1
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statisticsmatlab
说明: 统计自适应信号处理的matlab程序,学习统计自适应信号处理的朋友可以参考(statistics adaptive signal processing Matlab procedures, statistical study of adaptive signal processing can refer a friend)
- 2006-04-24 10:15:04下载
- 积分:1
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matlab_study
matlab学习资料,利于新生入门学习,能够更好的应用matlab(matlab learning materials, which will help new students started to learn, to better application of matlab)
- 2014-08-16 01:07:32下载
- 积分:1
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时域频域29个特征提取
说明: 利用matlab提取出频域和时域信号的29个特征,主运行文件feature_extraction,fre_statistical_compute和time_statistical_compute分别提取频域和时域的特征,生成的29个特征保存在生成的feature矩阵中。(Using MATLAB to extract 29 features of frequency-domain and time-domain signals, the main running files feature extraction, frequency-domain and time-domain features are extracted respectively, and the 29 features are saved in the generated feature matrix.)
- 2020-06-29 11:40:01下载
- 积分:1
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abqus车桥耦合命令流
说明: matlab车桥耦合,计算分析,便于自学(Matlab vehicle bridge coupling)
- 2020-05-09 17:03:23下载
- 积分:1
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longgexianxiang
数值计算方法 龙格现象+解决(切比雪夫点的定义)(Numerical method Runge phenomenon+ Solution (Chebyshev point definition))
- 2008-12-26 22:29:35下载
- 积分:1
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987654matlab
MATLAB编写的遗传算法,采用二进制编码,有说明文档(Genetic algorithm written in MATLAB, using binary code, there is documentation)
- 2010-05-14 12:25:47下载
- 积分:1
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MIMOsiml
带有相关性MIMO信道仿真程序,仿真的是MIMO平坦衰落信道。(associated with MIMO channel simulation program, based on the MIMO flat fading channel.)
- 2007-05-22 17:46:08下载
- 积分:1
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yamlipfldaiodusimlple
应用MATLAB的YAMLIP工具箱求解简单的机组组合问题(YAMLIP unit commitment problems)
- 2013-12-25 10:48:53下载
- 积分:1
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一个双向LSTM程序 BiLSTM
说明: 一个双向LSTM程序
Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型,可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出,并在近期被Alex Graves进行了改良和推广。在很多问题,LSTM 都取得相当巨大的成功,并得到了广泛的使用。
LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为,而非需要付出很大代价才能获得的能力!
所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中,这个重复的模块只有一个非常简单的结构,例如一个 tanh 层。(A bidirectional LSTM program
Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used.
LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost!
All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)
- 2021-04-21 22:08:49下载
- 积分:1