Maximum Likelihood Independent Component Analysis and Its Application
Xianchuan Yu, Dan Hu, Jindong Xu · 2014
In this chapter, we introduce a popular approach for estimating the ICA (independent component analysis) model, that is, the maximum likelihood estimation and the related BSS (blind source separation) algorithms, which are useful for independent component extraction. The probability density estimation method, gradient algorithm, and fast fixed-point algorithm are also given in this chapter. Finally, we give some applications to investigate the performance of the algorithm.