Abstract
Existing blind source extraction (BSE) methods are limited to noise-free mixtures, which is not realistic. Based on a rigorous analysis of the existing BSE methods, we address the problem of noisy component extraction (NoiCE) which provides BSE in the presence of noise. As a byproduct in BSE after deflation, we may also obtain the asymptotic identification of the a priori unknown observation noise disturbance. By yielding an asymptotically efficient filter in the presence of an unknown observation noise, our approach may also be viewed as a robust approach to noisy component extraction. Simulation results are provided which confirm the validity of the theoretical results and demonstrate the performance of the derived algorithms in noisy mixing environments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
