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singlependelumSVFC
controlfor simple pendulium in simulink
- 2011-08-19 09:17:57下载
- 积分:1
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number_of_kernel
用语计算volterra的kernel核(Calculating the kernel of Volterra)
- 2018-04-02 17:34:34下载
- 积分:1
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low-rank-matrix-recovery
他能把前后景分开,把前景去除掉,形成稳定的背景图(He can separate foreground and background, the foreground removed to form a stable background)
- 2015-04-08 15:05:15下载
- 积分:1
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BP-1.5
基础的BP神经网络应用。附有注释,适合初学,简单易懂。(basic utilities of BP neural networks.)
- 2013-04-04 23:38:56下载
- 积分:1
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enlarge
对二维图片进行中心放大,能控制放大的倍数,采用最近邻法(enlarge pictures from the center of it,can control the index for enlargement)
- 2014-01-07 11:26:28下载
- 积分:1
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MATLAB
本章先分析说明伪谱法求解波动方程的算法原理,再给出弹性波场伪谱法数值模拟的改进算法;然后,通过直接引入P波波场变量和S波波场变量,给出可实现弹性波场的P波和S波分解的波动方程,并用伪谱法实现弹性波场的P波和S波分解的数值模拟;最后用伪谱法对井间地震的复杂波场作数值模拟,分析井间地震波场中各种波的传播规律。(In this chapter, the principle of pseudo-spectral method for solving wave equation is analyzed, and then an improved algorithm for numerical simulation of elastic wave field is given. Then, by directly introducing P-wave field variable and S-wave field variable, the wave equation which can realize P-wave and S-wave decomposition of elastic wave field is given, and the P-wave sum of elastic wave field is realized by pseudo-spectral method. Numerical simulation of S-wave decomposition; finally, pseudo-spectral method is used to simulate the complex cross-well seismic wave field and analyze the propagation law of various waves in cross-well seismic wave field.)
- 2020-11-19 10:09:37下载
- 积分:1
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rls
电池模型的参数辨识,利用端电压的实际值和估计值,得到相关的7个参数(Parameter identification of battery model)
- 2020-12-01 15:39:26下载
- 积分:1
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VC_and_Matlab_Combine_Program
VC++与Matlab混合编程的快速实现,这是篇很实用的资料,(VC++ With Matlab rapid realize mixed language programming, which is very useful information articles,)
- 2007-10-11 16:08:52下载
- 积分:1
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u_pcm
均匀PCM编码程序,输入模拟信号,输出均匀量化的数字信号(Uniform PCM coding process, the input analog signal, digital signal output uniform quantizer)
- 2011-05-13 11:23:12下载
- 积分:1
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Hopfield
A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum) can occur. Hopfield networks also provide a model for understanding human memory.
- 2014-12-14 21:42:32下载
- 积分:1