blind-source-separation-using-fast-ica-master
所属分类：matlab编程
开发工具：matlab
文件大小：384KB
下载次数：2
上传日期：2020-11-02 14:46:33
上 传 者：
千度凉
说明： 利用盲源分离分离混合信号，此算法为FastICA,运行稳定
(Separation of mixed signals by blind source separation algorithm)
文件列表:
centerRows.m (140, 2020-08-13)
fastICA.m (1327, 2020-08-13)
loadAudio.m (406, 2020-08-13)
normalizeAudio.m (105, 2020-08-13)
source1.wav (50044, 2020-08-13)
source2.wav (50044, 2020-08-13)
source3.wav (50044, 2020-08-13)
source4.wav (50044, 2020-08-13)
source5.wav (50044, 2020-08-13)
source6.wav (50044, 2020-08-13)
source7.wav (50044, 2020-08-13)
source8.wav (50044, 2020-08-13)
source9.wav (50044, 2020-08-13)
untitled.fig (116593, 2020-08-13)
untitled.m (5508, 2020-08-13)
whitenRows.m (239, 2020-08-13)
# BlindSourceSeparation_FastICA
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.
FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyv¤rinen at Helsinki University of Technology.
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