Abstract
A new variable step-size normalized least mean square algorithm (VSSNLMS) is proposed which is designed for applications where the unknown filter has an exponential decay impulse response. In the proposed algorithm a variable vector step size is used on the basis of maximizing the decrease of the mean square deviation (MSD) between the optimal and adaptive filter weight vectors at each iteration. Faster convergence rate of the resulting algorithm as compared with existing VSSNLMS algorithms is supported by simulations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.