Pages that link to "Item:Q2412500"
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The following pages link to Sparse adaptive channel estimation based on mixed controlled \(l_2\) and \(l_p\)-norm error criterion (Q2412500):
Displaying 12 items.
- Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments (Q1660502) (← links)
- Improved adaptive sparse channel estimation using mixed square/fourth error criterion (Q1660689) (← links)
- Robust normalized subband adaptive filter algorithm against impulsive noises and noisy inputs (Q1989319) (← links)
- Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence (Q2125304) (← links)
- Block-sparsity regularized maximum correntropy criterion for structured-sparse system identification (Q2217615) (← links)
- Influence of input noises on the mean-square performance of the normalized subband adaptive filter algorithm (Q2291131) (← links)
- A general zero attraction proportionate normalized maximum correntropy criterion algorithm for sparse system identification (Q2333427) (← links)
- Norm penalized joint-optimization NLMS algorithms for broadband sparse adaptive channel estimation (Q2333541) (← links)
- A novel generalized group-sparse mixture adaptive filtering algorithm (Q2338054) (← links)
- A sparsity adaptive CS-based channel estimation algorithm (Q2984212) (← links)
- Sparsity adaptive algorithm for ultra-wideband channel estimation (Q3132267) (← links)
- Zero‐attracting variable‐step‐size least mean square algorithms for adaptive sparse channel estimation (Q5743826) (← links)
