IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Novel KullbackÔÇôLeibler Divergence Minimization-Based Adaptive Student's t-Filter

Author(s): Yulong Huang ; Yonggang Zhang ; Jonathon A. Chambers
Sponsor(s): IEEE Signal Processing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 15 October 2019
Volume: 67
Page(s): 5,417 - 5,432
ISSN (Electronic): 1941-0476
ISSN (Paper): 1053-587X
DOI: 10.1109/TSP.2019.2939079
Regular:

In this paper, in order to improve the Student's t-matching accuracy, a novel Kullback-Leibler divergence (KLD) minimization-based matching method is firstly proposed by minimizing the upper bound... View More

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