Gender:Male
Date of Birth:1970-04-26
Alma Mater:The University of Hong Kong
Education Level:PhD
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DOI number:10.1016/j.sigpro.2014.04.003
Journal:Signal Processing
Key Words:Pearson's product moment correlation coefficient (PPMCC) Kendall's tau (KT) Spearman's rho (SR) Contaminated Gaussian Model (CGM)
Abstract:In this paper, we derive the closed-form expectations of three classical correlation coefficients, i.e., Pearson's product moment correlation coefficient (PPMCC), Kendall's tau (KT) and Spearman's rho (SR), under a specific contaminated Gaussian Model (CGM) that simulates a frequently encountered scenario in statistical signal processing. Theoretical and empirical results reveal the advantages of SR and KT over the PPMCC when one variable is clean and the other corrupted by a tiny fraction of impulsive noise. The newly explored theoretical and simulational findings shed new light on the topic of correlation theory which is widely applied in statistical signal processing.
Co-author:王钦若,陈玮
First Author:马如豹
Indexed by:Journal paper
Correspondence Author:徐维超
Volume:104
Page Number:51-58
Translation or Not:no
Date of Publication:2014-04-13
Included Journals:SCI
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