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

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2 Author(s)
Bhotto, M.Z.A. ; Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada ; Antoniou, A.

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.

Published in:

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Date of Conference:

24-27 May 2009