Convergence Analysis of l0-RLS Adaptive Filter
B. K. Das, S. Mukhopadhyay, and M. Chakraborty
TL;DR
This paper provides a detailed convergence analysis of the l0-RLS adaptive filter, deriving the steady state mean and mean square deviations of its weight vector, enhancing understanding of its stability and performance.
Contribution
It offers the first and second order convergence analysis of the sparsity-aware l0-RLS adaptive filter, including theoretical theorems on steady state deviations.
Findings
Steady state mean deviation derived
Steady state mean square deviation derived
Enhanced understanding of filter stability
Abstract
This paper presents first and second order convergence analysis of the sparsity aware l0-RLS adaptive filter. The theorems 1 and 2 state the steady state value of mean and mean square deviation of the adaptive filter weight vector.
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Taxonomy
TopicsAdvanced Adaptive Filtering Techniques · Speech and Audio Processing · Blind Source Separation Techniques