Paper Info
Title
A New Normalized Minimum-Error Entropy Algorithm With Reduced Computational Complexity
Abstract
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.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5118324
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
Adaptive filters, minimum-error entropy (MEE) algorithms, normalized MEE algorithms, MEE algorithms with self-adjusting step size
Convergence (routing),Kernel (linear algebra),Higher-order statistics,Algorithm,Probability distribution,Adaptive filter,Quantization (signal processing),Mathematics,Computation,Computational complexity theory
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
M. Zulfiquar A. Bhotto1462.65
A. Antoniou226730.79