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bss_ydm
- 可以实现若干个函数输入混合后盲信号分离的fastica算法应用-can achieve a number of functions in the importation of a mixture of the Blind Signal Separation fastica algorithm application
itpp-3.10.1.tar
- 独立分量分析程序FASTICA的C＋＋源代码-FASTICA procedures for the C + + source code
ica2
- fastica C++实现,很简单的,很容易看的
fastICA_comoplex
- 复数信号的FASTICA算法，和ICA算法类似，但主要用于处理复数信号。
FastICA_23
- FastICA算法,使用matlab语言,是非常好的独立成分分析工具.-Fast algorithm, using Matlab language, is a very good independent component analysis tools.
FastICA_2[1].5
- 独立成分分析(ICA,Independent Component Correlation Algorithm)简介- FastICA programs: FASTICAG - Graphical user interface for FastICA FASTICA - command line version of FastICA
bss_ydm
- 通过基于负熵和牛顿迭代方法的fastica算法实现了随机产生的非高斯独立成分混合后矩阵的盲源分离-By FastICA and Matlab,implementint BSS.
duocankaoxinhaonewicar
- 多参考信号的新ICA，处于fastica与ica-r之间的一种新ica方法。-Multi-reference signal, the new ICA, in the fastica of ica-r a new ica method.
fastICA
- 实现对信号的分布提取，完成对混合信号的辨识，可以在不知道源和传输通道的请况下进行。-Realize the distribution of signal extraction, complete identification of the mixed signal, can not know the source and transmission channel please condition for
fdICA
- 本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。-This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.
基于负熵的独立成分分析
- 独立成分分析 fastICA算法 负熵(Independent component analysis, fastICA algorithm, negative entropy)