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spectrogram_example
说明： stft的实验小程序，可以做个基础，然后据此展开做些复杂的东西(stft experiments applet)
- 2010-03-21 23:42:07下载
- 积分：1
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Kelvin
matlab程序，绘制三维Kelvin模型(十四面体)。(matlab program to draw three-dimensional Kelvin model (Tetrakaidecahedron).)
- 2012-05-29 19:17:39下载
- 积分：1
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pic2
A code for image processing
- 2012-06-23 21:45:05下载
- 积分：1
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pso
Particle swarm optimization
- 2013-03-22 10:11:07下载
- 积分：1
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emg
this is emg second type signal used for analysis
- 2015-04-08 14:08:26下载
- 积分：1
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MapleSimSimulinkConnectorGuide
系统地介绍了MATLAB中simulink仿真的用法，对初学MATLAB的人有很大帮助(Systematic introduction to the use of MATLAB, simulink simulation, MATLAB for beginners who are very helpful)
- 2010-10-30 11:27:58下载
- 积分：1
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PendLab
matlab中对摇摆轴的模拟及分析。生成pendulum的模型进行相关计算(pendulum simulation model with matlab)
- 2009-07-11 12:46:49下载
- 积分：1
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4
说明： 进行数字图像处理的一些滤波的方法的matlab实现，可以自己进行适当调试，就可以使用 标注清晰(Some digital image processing matlab filtering methods to achieve, you can own the appropriate debugging, you can use a clear label)
- 2011-04-10 16:02:54下载
- 积分：1
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C_CMethod
混沌时间序列分析中的c-c方法，用于求相空间重构时的时间窗和延时，已修正部分错误(Chaotic time series analysis cc method for seeking and delay time window when the phase space reconstruction, part of the error has been corrected)
- 2014-01-19 13:43:30下载
- 积分：1
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SPGP_dist
这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
covariance. You can use any method you like for finding the
pseudo-inputs , with the simplest obviously being a random subset of
the data. It is coded for Gaussian covariance function, but you could
very easily alter this. It is also fine to use for high dimensional
data sets.
spgp_lik is the SPGP (negative) marginal likelihood and gradients
with respect to pseudo-inputs and hyperparameters. So you can use this
if you wish to try to optimize the positioning of pseudo-inputs and
find good hyperparameters, before using spgp_pred . I would recommend
initializing the pseudo-inputs on a random subset of the data, and
initializing the hyperparameters sensibly. Its current limitations are
that 1) it is slow and memory intensive for high dimensional data sets
2) it is heavi)
- 2021-05-13 07:30:02下载
- 积分：1
