Abstract
This paper describes the basic idea of Mind Evolutionary Computation and its advantages, the basic steps of the algorithm .The optimal adaptive filters are design based on MEC, which don’t need any priori statistical knowledge of signal and noise, and the parameters of adaptive filters can be automatically adjusted to the best in accordance with certain criteria. Simulation results show that the proposed method can quickly design effective optimal adaptive filters.
Sign-in/Register to access full text options 
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.
