-
COST231Models
无线通信中，无线信道的模型的仿真程序，比较新，希望有所帮助(wireless communications, wireless channel model simulation program, a relatively new, hoping some help)
- 2007-05-31 16:26:04下载
- 积分：1
-
CSRec_SP
子空间匹配追踪源代码。matlab实现的函数。是学习压缩感知的入门资料。(this is a matlab code of subspace pursuit algorithm .which is helpful to study CS.)
- 2013-08-18 10:37:22下载
- 积分：1
-
referentiel
MATLAB instruction mimo
- 2011-11-16 03:52:32下载
- 积分：1
-
copymoveFAKE
数字图像copy-move篡改盲检测。一个很小的代码，用Matlab实现的。(Digital image copy-move tampering with the blind detection. A small amount of code using Matlab.)
- 2013-04-22 20:28:12下载
- 积分：1
-
otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分：1
-
lagmatrix
LagMatrix Function - matlab - Useful Econometrics Tool
- 2014-01-04 02:16:53下载
- 积分：1
-
FLAC3D地震荷载加载动力计算常用天津波完整原始数据
FLAC3D地震荷载加载动力计算常用天津波完整原始数据(Commonly used Tianjin wave complete raw data)
- 2020-07-05 09:40:02下载
- 积分：1
-
JM97B
说明： 截断切割：用matlab程序实现这一过程的方法(Truncated Cutting: The matlab program to achieve this process approach)
- 2010-03-26 16:43:29下载
- 积分：1
-
f2matlab
It s also very interesting code
- 2011-11-25 16:40:52下载
- 积分：1
-
libsvm
支持向量机以统计学习理论作为坚实的理论依据，借助优化方法解决及其学习的一种新工
具.近年来，支持向量机受到人们的广泛关注，在理论研究和算法实现方面都有了很大的突
破，成为现代机器学习的热点课题.(Support vector machine(SVM)is a new approach that can solve machine learning
problem with optimization methods. In recent years,there has been a surge of interest in
SVM.It has achieved a prodigious progress in the theory research and algorithm
implement, thus has been an active research area in machine learning)
- 2011-05-02 22:15:57下载
- 积分：1
