Convergence Analysis of l0-RLS Adaptive Filter
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.