SPLGOct 16, 2017

Convergence Analysis of l0-RLS Adaptive Filter

arXiv:1710.09259v11.22 citations
Originality Synthesis-oriented
AI Analysis

This provides theoretical guarantees for adaptive filtering in sparse signal processing, but it is incremental as it extends existing analysis to a specific variant.

The paper tackled the convergence analysis of the sparsity-aware l0-RLS adaptive filter, deriving first and second-order convergence theorems to determine the steady-state mean and mean-square deviation of the filter weight vector.

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.

Foundations

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