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ICA_demo_fMRI
- ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital,
icaMF
- Independent Component Analysis源代码,最大似然方法
icaMF
- 用于信号处理的fastica算法源码，希望对大家有帮助
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2]
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2]
ICA_demo_fMRI
- ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital,
icaMF
- 用于信号处理的fastica算法源码，希望对大家有帮助-For signal processing algorithm FastICA source, in the hope that everyone has to help