Retiming Of Delayed Least Mean Square Algorithm for Adaptive Filter: A Review

Least mean square (LMS) algorithm is a broadly used adaptive algorithm for its robustness and low hardware complexity. Though in practical applications, many modified LMS algorithm had be proposed. Delayed LMS algorithm is suited in hardware implementation with performance degradation. When performance degradation is not acceptable, a correction term can be added to avoid this degradation. But adding a correction term will increase power consumption. To make this more achievable we are retiming this DLMS architecture to reduce the critical path and making it more responsive and less degradable. We are endulge in this paper to understand the throughput changes that will empower whenever we are going to change realization of LMS from LMS_DLMS_RDLMS.