-
Application-au-problEme-du-pendule-inverse
Application au problème de la cuve. Comparaisons entre un contrô leur ACF, un
contrô leur PID et le contrô leur à logique floue de Matlab.
Application au problème du pendule inverse. Comparaisons entre un contrô leur
ACF, un contrô leur PID et le contrô leur à logique floue de Matlab.
- 2015-03-09 00:09:30下载
- 积分：1
-
wrfquiver
matlab 画地图，非常实用，有需要的可以下载过去！(very strong！)
- 2014-01-15 15:03:53下载
- 积分：1
-
CR
说明： 认知无线电中关于频谱感知的一些小程序，希望对大家有所帮助！(Spectrum sensing in CR,I hope it s useful to some guy!)
- 2010-04-12 23:58:46下载
- 积分：1
-
Matlab
matlab中文帮助文档,MATLAB教程,初学者必看的文档。(Chinese help documentation matlab, MATLAB tutorial, beginners must see the document)
- 2011-10-05 19:21:25下载
- 积分：1
-
PVarray
光伏阵列Simulink仿真文件 光伏阵列(PV array Simulink simulation files)
- 2021-03-27 11:09:12下载
- 积分：1
-
lssvm
lssvm All plotting is done with this simple command. It looks for the best way of displaying the result
- 2017-07-06 11:19:56下载
- 积分：1
-
3434
遗传算法的GA主函数，选择函数，排序函数，交叉函数，变异函数等等(Genetic algorithm is proposed to GA Lord function, choose function, sort function, crossover function, variation functions and so on
)
- 2012-05-17 21:15:40下载
- 积分：1
-
Space-behind-the-convergence
可以实现空间后方交汇,相对定位,光束法空间后方交汇(Space behind the convergence can be achieved relative positioning behind the convergence of the bundle space)
- 2012-10-28 01:37:30下载
- 积分：1
-
src-fusion
A. Fusion at the Feature Extraction Level
The data obtained from each sensor is used to compute a
feature vector. As the features extracted from one biometric
trait are independent of those extracted from the other, it is
reasonable to concatenate the two vectors into a single new
vector. The primary benefit of feature level fusion is the
detection of correlated feature values generated by different
feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy
[14]. The new vector has a higher dimension and represents the
identity of the person in a different hyperspace. Eliciting this
feature set typically requires the use of dimensionality
reduction/selection methods and, therefore, feature level fusion
assumes the availability of a large number of training data.
- 2013-03-14 16:40:42下载
- 积分：1
-
BIDIRECTIONAL_SMOOTHNESS_MUSIC
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 20:23:33下载
- 积分：1
