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Variable Step-Size Proportionate Minimum Error Entropy Affine Projection Algorithm
DOI:10.1016/j.dsp.2026.106548.png)
Abstract
En 中文
• Novel PAPMEE integrates proportionate weighting and minimum error entropy.
• Gain allocation proportional to weight magnitudes adapts to sparse systems.
• A dynamic step-size strategy boosts VSS‑PAPMEE performance.
• Faster convergence and lower steady‑state error on sparse echo channels.
Keywords:
Adaptive filtering algorithm
Echo cancellation
Sparse system identification
Proportionate adaptation
Variable step size
Journal
D
IF:
3
Papers:
775
Citations:
0
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