Abstract-Analyzed the reason why the overdetermined blind signal separation of natural gradient algorithm ultimate not stably converge, constructed an adaptive blind separation algorithm suitable for dynamically changing source number. The new algorithm not only overcomes the shortcoming of eventually not stable convergence, but it also need not to delete the redundancies according to the correlation of the output components, which greatly simplifies the computational complexity of the algorithm. Randomly reduce or increase the number of source signals is still able to achieve a better separation effect, simulation results demonstrate the convergence of the algorithm and its effectiveness for blind source separation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.