A new normalized minimum-error entropy algorithm with reduced computational complexity

A new normalized minimum-error entropy (NMEE) algorithm is proposed as an alternative to the minimum-error entropy (MEE) and the minimum-error entropy with self-adjusting step size (MEE-SAS) algorithms. The proposed NMEE algorithm requires fewer iterations and less computation to converge and yields lower misadjustment as compared to those of the MEE and the MEE-SAS algorithms.