Variable step-size LMS adaptive algorithm based on computational verb rules

In this paper, a new variable step-size LMS algorithm based on computational verb rules is presented. This method allows the algorithm to converge faster and to produce smaller steady-state errors compared to other variable step-size LMS algorithms, even when the system is subjected to sudden changes. Furthermore, it provides a brand new framework that allows the designers to design adaptive algorithms in a simpler and more effective way by using computational verb rules to encode the designers´ knowledge of dynamical processes. Simulation results are provided to show the usefulness of the proposed algorithm by comparing with other variable step-size LMS algorithms.