-
Rayleigh_fading
Rayleigh fading simulation
- 2009-02-14 04:35:28下载
- 积分：1
-
base_plots_Merge_PCs
Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,
- 2010-01-20 14:21:47下载
- 积分：1
-
MATLABintheapplicationofwatermarc
matlab可以看作小波前期工作的平台。它忽略了其他架子上的修饰，直接进入底层实现数值计算分析(wavelet Matlab can be seen as preparatory work for the platform. It ignores the other hangers tinkering with the direct access to the underlying implementation Numerical Analysis)
- 2007-01-10 11:07:26下载
- 积分：1
-
outputdsSVI
example code Pca for sludge digester
- 2012-06-02 17:52:06下载
- 积分：1
-
wang_retinex
对应汪荣贵基于暗原色先验模型的Retinex算法程序，程序是我自己通过学习他的论文根据论文编写的，大家可以看看。(WANG Rong-gui dark colors correspond to a priori model based on Retinex algorithm, the program is my own by studying his thesis based on papers prepared, we can see.)
- 2013-09-21 15:23:58下载
- 积分：1
-
fenzu
对数据进行分组：通过该程序在matlab将一组数据随机的分为两组，用于建模计算(devide into two groups)
- 2013-10-30 21:59:28下载
- 积分：1
-
MPPT
说明： MPPT最大功率点跟踪控制，搭建了并网历程，并且使用MPPT控制。(MPPT maximum power point tracking control, build the grid-connected process, and use MPPT control.)
- 2020-06-20 04:20:02下载
- 积分：1
-
srcs
说明： 选择快速分析法，进行信号分离，所得到的结果，可以很好的与源信号相匹配。(Select the fast analysis method to separate the signal, the result can match the source signal very well.)
- 2020-07-21 10:11:22下载
- 积分：1
-
SPGP_dist.zip
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
- 2022-12-16 12:30:04下载
- 积分：1
-
Algorithm
四种不同的算法在实现多项式相乘时的时间复杂度比较(Four different algorithms, when multiplied in the realization of polynomial time complexity comparison)
- 2008-12-19 15:44:00下载
- 积分：1
