A New Algorithm Estimating the Mixing Matrix for the Sparse Component Analysis
Suxian Zhang, Hai‐Lin Liu, Jiechang Wen, Weili Chen · 2009
For the problem of Underdetermined Blind Source Separation (UBSS) under nonstrictly sparse condition, we propose a new algorithm to estimate mixing matrix. Firstly, a clustering prototype of orthogonal complement space is introduced; Secondly, a fuzzy EVD clustering method which combines fuzzy clustering and Eigenvalue Decomposition (EVD) is presented. Based on these two methods, the algorithm proposed in this paper is robust against noise without losing convergence speed.