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- Title
Normalized Minimum Error Entropy Algorithm with Recursive Power Estimation.
- Authors
Namyong Kim; Kihyeon Kwon
- Abstract
The minimum error entropy (MEE) algorithm is known to be superior in signal processing applications under impulsive noise. In this paper, based on the analysis of behavior of the optimum weight and the properties of robustness against impulsive noise, a normalized version of the MEE algorithm is proposed. The step size of the MEE algorithm is normalized with the power of input entropy that is estimated recursively for reducing its computational complexity. The proposed algorithm yields lower minimum MSE (mean squared error) and faster convergence speed simultaneously than the original MEE algorithm does in the equalization simulation. On the condition of the same convergence speed, its performance enhancement in steady state MSE is above 3 dB.
- Subjects
MINIMUM entropy method; TELECOMMUNICATION channels; STATE estimation in electric power systems; RADIO transmitter fading; SIGNAL processing; COMPUTATIONAL complexity; RECURSIVE filters
- Publication
Entropy, 2016, Vol 18, Issue 7, p239
- ISSN
1099-4300
- Publication type
Article
- DOI
10.3390/e18070239