Abstract
The stereophonic acoustic echo cancellation (SAEC) scheme was recently recast by using the widely linear (WL) model, i.e., as a single-input/single-output system with complex random variables. In this paper, we present a Kalman filter with individual control factors in the context of the WL model for SAEC. As a specific feature, this algorithm uses a different level of uncertainty for each coefficient of the filter. Simulation results indicate that the proposed algorithm outperforms the recursive least-squares (RLS) algorithm, which is usually considered as the benchmark for SAEC.
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.
