Abstract
This paper extends a recently proposed approach to pipeline an adaptive filter to the case of least mean square (LMS)-based adaptive decision feedback equalizer. It is shown that by certain manipulation of the equalizer weight update equation, a pipelined architecture can be realized which generates the output at the first stage itself and thus is free from any latency. The proposed method overcomes certain limitations of the conventional approaches in that due to the absence of any latency, there is no compulsion to employ delayed LMS algorithm for coefficient adaptation and thus no compromise with convergence rate becomes necessary.
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.
