Abstract
A new weighted exact least squares lattice algorithm for adaptive noise cancellation is developed. In addition to the forgetting factor, an independent weighting factor is included in the performance criterion to be minimized. Such a weighting scheme can be used to improve noise cancellation performance. The authors explore this by comparing the features of the weighted and nonweighted algorithms. Using simulations, they demonstrate the superior performance of the weighted exact least squares lattice algorithm.
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 callMore From: Canadian Journal of Electrical and Computer Engineering
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.
