-
Software
model de turbine eolienne 180kw medel utile pour l utilistion derecte dans les generatrices eoliennes
- 2009-05-17 07:26:37下载
- 积分:1
-
rili
找到的一个比较实用的日历程序源码,用于开发与日期相关的程序,替代Calendar,实现其无法改变颜色等操作(To find a more practical calendar program source code, for the development of date-related procedures, alternative Calendar, realize that it can not change the color and other operations)
- 2013-08-05 17:30:50下载
- 积分:1
-
matlab--Interpolation
本文是样条插值和线性分段插值的matlab代码,通过具体例子编程事例。(This paper is a spline interpolation and piecewise linear interpolation matlab code, through specific examples of programming examples.)
- 2014-09-20 20:18:07下载
- 积分:1
-
StepInfo-
the code shows the step response of a closed loop system the code shows the step response of a closed loop system the code shows the step response of a closed loop system
- 2013-11-21 09:48:39下载
- 积分:1
-
hig
background subtraction technique
- 2012-01-03 17:41:00下载
- 积分:1
-
m-files
信号检测与估计————理论与应用一书中的仿真题答案(Simulation questions---- answer signal detection and estimation theory and application of a book)
- 2014-01-17 19:32:58下载
- 积分:1
-
Adaptive-probabilities-of-crossover
matlab adaptive probabilty
- 2021-04-01 14:59:08下载
- 积分:1
-
Var-calculation
基于MATLAB的风险价值VAR计算,包含蒙特卡洛模拟等相关源码。(MATLAB VAR calculation )
- 2015-10-31 22:37:29下载
- 积分:1
-
touqing_V4.1
完整的图像处理课设,包含所有源代码,汽车图像,包括轨道机动仿真、初轨计算,一个很有用的程序。( Complete class-based image processing, contains all of the source code, auto image, Including orbital maneuvering simulation, initial orbit calculation, A very useful program.)
- 2016-09-11 00:44:37下载
- 积分:1
-
EM算法(讲解+程序)
说明: EM 算法是Dempster,Laind,Rubin于1977年提出的求参数极大似然估计的一种方法,它可以从非完整数据集中对参数进行 MLE估计,是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据,可以具体来说,我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)
- 2020-07-04 06:00:01下载
- 积分:1