-
Anh004
face to face through face-side down until the back face, the only
- 2010-11-03 22:00:51下载
- 积分:1
-
wind_rose
利用MATLAB展示风玫瑰图,进行气象分析,统计分析,以及风资源分析(plot windrose pictures by matlab)
- 2009-12-25 16:14:48下载
- 积分:1
-
kmeans
说明: 经典的k-means程序,包含了很多的数据集,具有几点的聚类程序的描述。以供大家参考。(kmeans)
- 2010-04-05 11:48:56下载
- 积分:1
-
Digital-Signal-Processing-Sanjit-K
Plots 3 dimensional plot of a sinc wave
- 2011-10-05 06:16:07下载
- 积分:1
-
tran
Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer.
- 2014-11-01 15:15:01下载
- 积分:1
-
xiaobohanshu
介绍了各种小波函数,包括提取一维小波变换低频系数,计算完整最佳小波包树,求小波中心频率等函数的函数名(Describes the various wavelet functions, including a one-dimensional wavelet transform to extract the low-frequency coefficients to calculate the optimal wavelet packet complete tree, seeking the center frequency of the wavelet function names)
- 2015-01-27 13:03:49下载
- 积分:1
-
cross-Entropy
The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.
- 2011-08-03 23:11:20下载
- 积分:1
-
dianlu
matlab仿真的M文件,一个很简单的仿真程序,与大家一起学习。希望能学到更多的东西
(matlab simulink)
- 2010-03-15 09:30:40下载
- 积分:1
-
Program-montage
Example of montage series image using matlab
- 2011-08-27 06:34:33下载
- 积分:1
-
FA
因子分析法主程序,输入数据x以及主成分个数,则可以得到因子分析法的结果(Main factor analysis, the input data x and number of principal components, you can get the results of factor analysis)
- 2013-08-16 09:33:33下载
- 积分:1