Independent Component Analysis (ICA)

• Category: Multi-channel blind source separation
• Development language: matlab
• Operating platform / Operating system: Windows7以上
• Compilation tools and environment: matlab
• Version: v1.0
• Access: 在线共享
• GitHub download path: https://gitee.com/three-poles/BlindSourceDecomposition/

Method description:

ICA is a technique for separating source signals from linear mixtures of multiple source signals. There is no prior knowledge except that the source signal is known to be statistically independent. Compared with the traditional filtering method and the cumulative average method, ICA can eliminate the noise while hardly destroying the details of other signals, and the denoising performance is often much better than the traditional filtering method. Moreover, compared with traditional signal separation methods based on feature analysis, such as singular value decomposition (SVD) and principal component analysis (PCA), ICA is an analysis method based on high-order statistical characteristics. In many applications, the analysis of higher-order statistical properties is more practical.

Install: matlab;

Input: time series signal;

Output: decomposed signal

• 安装方式：安装matlab

  运行方式：matlab运行

  输入变量：时间序列信号

  输出变量：分解后信号

  
  

  依赖库文件：打包至src文件夹

  二维码：