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Diffusion inverse square-root recursive least square-based algorithm with adaptive network
Author(s)
Date Issued
May 19, 2021
Type
Conference Paper
Abstract
In this paper, a Combine-Then-Adapt diffusion strategy on adaptive recursive least square algorithm (RLS) is proposed with adaptive network. We apply the inverse autocorrelation matrix based on the QR-decomposition method in order to reduce the complexity. The Combine-Then-Adapt diffusion strategy is modified on the inverse square-root recursive least square (iQR-RLS) algorithm including with the combination and adaptation steps. By applying an idea of diffusion strategy and mixed cost function, we derive a diffused version of an inverse square-root recursive least square algorithm, named as DiQR-RLS. Experimental results demonstrate that the proposed DiQR-RLS can achieve clearly the better performance than the conventional recursive least square algorithm.
Citation
Ecti Con 2021 2021 18th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Smart Electrical System and Technology Proceedings, 709-712, 2021