Abstract
A novel memory-improved proportionate affine projection sign algorithm with correntropy induced metric (CIM-MIP-APSA) is proposed to enhance the filtering performance for sparse system identification. Furthermore, a simplified implementation of the CIM-MIP-APSA (SCIM-MIP-APSA) with low computational complexity is proposed while improving the convergence performance and filtering accuracy. Simulation results demonstrate that the CIM-MIP-APSA and SCIM-MIP-APSA algorithms outperform the existing works for sparse system identification.
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