资源列表
clustering_code_v02
- clustering_code ,Clustering Through Ranking On Manifolds Version 0.2 Copyright by Markus Breitenbach and Gregory Z. Grudic -clustering_code. Clustering Through Ranking On Manifolds Versi on 0.2 Copyright by Breitenbach and Greg Markus wat
psk11
- 从别人那里转载！从别人那里转载 -reproduced from others there! Reprinted from others where there is reproduced from others from others where there is reproduced from others reprinted
modeling_flexibility_in_SimMechanics
- Mablab工具包 机械系统建模仿真-Mablab Kit mechanical system modeling and simulation
fouriertransmation
- 图像处理 证明二维夫里叶变换等价于两步一位傅里叶变换的程序-image processing proved two Weaver Fourier Transform equivalent to a two-step procedure Fourier Transform
lattice_filter_Matlab
- 格型滤波器(lattice filter)Matlab的实现帖子,只用于2阶。请高手看看。不过我还是不会编更高阶的格型滤波器。欢迎一起探讨！zhoujoejx@163.net-lattice filter (lattice filter) Matlab achieve posts. only for the two bands. Look at 19:56. However, I will not write more advanced lattice filter. Welcome to ex
convolutive
- 卷积盲源分离，采用matlab编程，带有说明文档。-convolution Blind Source Separation using Matlab programming, with documentation.
JnS-1.2
- 著名的Jade算法，利用高阶累积量盲分离。法国Cardoso发明的算法。-famous algorithm, using Cumulant Blind separation. France Cardoso invented the algorithm.
muatual_information_ICA
- 互信息盲源分离，这基于这么一个事实，混合信号的互信息最小时，意味着信号独立。可以参考有关书籍。在google里面，搜索mutual information blind source separation.即可搜到文章。-mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal indepen
FastICA_25
- 著名的FastICA 算法，最新版本，修改了以前的Bug.-famous Fast algorithm, the latest version, which amended the previous Bug.
ica_ng
- 自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。-own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article. Networks found on a trip.
ica_demo
- ICA算法的一个例子，适于初学者。其中采用实际的数据进行盲分离。-ICA an example of the algorithm, suitable for beginners. The actual use of these data for blind separation.
acdc
- 联合对角化方法，用于对多个矩阵同时进行联合对角化，主要用处是盲源分离。-joint diagonalization method for the same time on a number of joint matrix diagonalization, the main use is Blind Source Separation.