Paper “Bias-Variance Decomposition of the Mean-Square Deviation of the LMS Algorithm: Transient and Steady-State Analysis”

14 February 2025
Renato
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Categories: Research

This paper provides an analysis, using the bias-variance decomposition, of the mean-square deviation of the least-mean-squares (LMS) algorithm during both its transient and steady-state phases.

The conclusions drawn from this analysis offer new insights into how the algorithm operates, and are supported by simulation results.

The PDF file can be obtained in this page.

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