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calcErrorTOA
使用TOA的方法來計算位置,相當好用的程式(Using the TOA method to calculate the location, very easy to use program)
- 2010-02-24 20:52:52下载
- 积分:1
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Fractal-interpolation-RS
Fractal interpolation model index time series analysis and R_S _ Wanghong Yong
- 2014-11-24 17:30:42下载
- 积分:1
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tlabel
This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are.
The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED!
Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example.
Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem.
Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis):
t = linspace(0,1) + now
x = rand(size(t))
plot(t,x)
axis tight
tlabel <----
Enjoy it!
Bugs reports and suggestions will be very appreciated!
(This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are.
The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED!
Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example.
Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem.
Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis):
t = linspace(0,1)+ now
x = rand(size(t))
plot(t,x)
axis tight
tlabel <----
Enjoy it!
Bugs reports and suggestions will be very appreciated!
)
- 2009-10-05 21:46:23下载
- 积分:1
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Random-medium11
随机介质的模型建立,用于地震波模拟的研究!(Random medium model, used in seismic wave simulation research!)
- 2021-01-20 09:28:42下载
- 积分:1
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particle-swarm-algorithm
基本粒子群算法的matlab源程序,可以学习一下(Elementary particle swarm algorithm matlab source code, you can learn about)
- 2013-04-07 15:47:19下载
- 积分:1
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yuanzhu111
用于圆柱绕流时候流畅区域的网格划分matlab程序(When the grid is used to smooth the flow around a cylinder divided matlab program area)
- 2014-06-24 20:50:09下载
- 积分:1
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LRA
Lattice reduction mimo detection
- 2012-02-14 17:58:08下载
- 积分:1
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Matlab7
MATLAB7.0的官方电子教程,我可是很不容易才弄到的哦~~非常适合MATLAB基础比较差的人(MATLAB7.0 official e-tutorial, I' m not easy to just get the oh ~ ~ very suitable for people with poor basic MATLAB)
- 2010-07-16 13:44:02下载
- 积分:1
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ImageProcessing
matlab documentation
- 2013-01-04 19:53:51下载
- 积分:1
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classical_music_2
MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲,信号处理的观测空间可以分解为信号子空间和噪声子空间,显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成,噪声子空间则由协方差矩阵中所有最小特征值(噪声方差)对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
- 2013-09-15 20:26:53下载
- 积分:1