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whitenoiseandsth
to generate the white noise signal u(n) with uniform distribution and power p
- 2010-11-16 16:46:52下载
- 积分:1
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bessel
Code to create bessel function in 2D.
Arguments are:
rad - radius
amp - amplitude
sat - saturation level (0 to 1)
x, y - image dimensions
- 2011-01-12 02:58:09下载
- 积分:1
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FCC
UWB系统中FCC对UWB频谱的限制仿真(室内的)15(FCC restrictions on UWB spectrum simulation (indoor))
- 2011-05-24 23:20:59下载
- 积分:1
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Convertor
Signal Convertor for converting ECG signal,
- 2012-07-20 01:26:31下载
- 积分:1
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power-system-state-estimator
电力系统状态估计的程序,可以进行简单的14机模型的计算(Power system state estimation procedures, a simple model for the calculation of the 14 machines)
- 2013-03-21 16:41:02下载
- 积分:1
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Matlab_GUI
学会用matlab gui设计用户界面,并编写响应程序。(To learn matlab GUI to design user interfaces, and write a response to the program.
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- 2013-04-30 00:12:00下载
- 积分:1
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filesForMATLABCentral
Graphical evaluation for convolution
- 2018-03-05 14:06:46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
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16QAM_AWGN
16QAM_AWGN matlab程序,大家可以看看这个算法
- 2010-12-29 09:00:57下载
- 积分:1
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Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合
Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合,当CMA将EYE打开,使讯号趋近于正确值,就切换到LMS,利用Slicer的输出当作training sequence来调整Equalizer的系数,而Carrier Recovery 的部份,则是将phase error track出来(Blind Equalizer algorithm is the use of the CMA and LMS tie, When the CMA will EYE open, signaling close to the correct value, it switched to the LMS. SLICER use of the output as training sequence to adjust Equalize The coefficient r, and some of Carrier Recovery, the type of track out phase error)
- 2020-12-17 17:59:13下载
- 积分:1