Normalized LMS adaptive filter algorithm: principles and verilog HDL implementation
Year: 2025
Type: conference-paper
Abstract: This article offers a detailed exploration of the Normalized Least Mean Squares (NLMS) algorithm, highlighting its enhanced adaptive filtering capabilities and robust performance in managing input signal correlations. It delves into the foundational principles of the NLMS algorithm and outlines the essential modules required for its implementation in Verilog HDL. The implementation and simulation of the NLMS adaptive filter are studied. The simulation outcomes indicate that the convergence rate of the algorithm is superior to that of the conventional LMS algorithm.
Authors: Haoxu Wang, Bingjie Li, Ming Liu, Dezhen Yang, Zhijie Chen, Xu Liu, Peiyuan Wan
Institution: Beijing University of Technology
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409294675