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OPNET_exercise
opnet exercise.........................
- 2010-12-22 17:52:56下载
- 积分：1
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qtom
说明： 将quartus的仿真数据结果导入到matlab中进行后续的操作(Will Quartus results of the simulation data into matlab conducted follow-up operation)
- 2008-11-01 15:31:09下载
- 积分：1
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matlab
Matlab有关的编程知识，有兴趣的可以下来看看(Matlab programming knowledge, who are interested can look down)
- 2013-03-06 22:03:35下载
- 积分：1
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ground2picv3
ground2picv3 通过GPS信息和摄像机角度，将图片映射到世界坐标系中(Ground2picv3 by GPS information and the camera Angle, the image is mapped to the world coordinate system)
- 2014-10-24 15:21:55下载
- 积分：1
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tab8
用matlab对一段音频进行采集并做一些简单的处理(Using matlab for an audio collection and do some simple processing)
- 2014-10-28 22:20:23下载
- 积分：1
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paper-6
This paper gives an idea of PCG analysis based on ECG.
- 2014-11-14 12:40:35下载
- 积分：1
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function
matlab function? for example imnoise3, lpfilter and other
- 2015-01-16 05:17:06下载
- 积分：1
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vmd
说明： VMD是通过迭代搜寻变分模型（具体怎么搜寻，请亲们自己看，我主要讲他的大概）最优解， 来确定我们所知的模态uk(t)及其对应的中心频率ωk和带宽。
每个模态都是具有中心频率的有限带宽（就是在频域中有在一定的宽度）。所有模态之和为源信号。(VMD is to determine the modal UK (t) and its corresponding central frequency, k and bandwidth by iteratively searching for the optimal solution of the variational model (see dear friends for details, and I will mainly talk about his approximate solution).
Each mode is a finite bandwidth with a central frequency (that is, a certain width in the frequency domain).The sum of all modes is the source signal.)
- 2020-05-22 17:09:22下载
- 积分：1
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kalman-lvbo
自己编写的一个随动系统的kalman滤波模型(I have written a servo system of the kalman filter model)
- 2009-11-28 14:21:25下载
- 积分：1
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lyaprosen
INPUTES:
y: y is vector of values(time series data)
tau: embedding lag of state space reconstruction. When you have not
any information about tau please let it zero. The code will calculates
the tau.
m: m is embedding dimension. If you have not any information about
embedding dimension please let it zero. the code will find proper
embedding dimension.
OUTPUTS:
LLE: Largest Lyapunov Exponent
lambda: Lyapunov exponents for various ks. Plot of this exponents is
very helpful. If embedding dimension be selected correctly lambda curve
will have smooth part(or fairly horizontal). If there is no smooth
section on the curve, it is better you try with other embedding
dimensions.
- 2011-02-22 03:15:45下载
- 积分：1
