Title :
Correlation coefficient based on independent component analysis
Author :
Falie, Dragos ; David, Livia
Author_Institution :
Image Process. & Anal. Lab., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
The proposed correlation coefficient better characterize the statistical independence of two random variables that are a linear mixture of two independent sources. This correlation coefficient can be calculated with analytical relations or with the known algorithms of independent components analysis (ICA). The value of the correlation coefficient is zero when the random variables are a statistically independent and it is one when these are fully dependent.
Keywords :
independent component analysis; statistical analysis; ICA; correlation coefficient; independent component analysis; independent sources; linear mixture; random variables; statistical independence; Algorithm design and analysis; Correlation; Data structures; Gold; Independent component analysis; Random variables; USA Councils; BSS; ICA; blind separation of sources; correlation; statistical independence;
Conference_Titel :
Communications (COMM), 2012 9th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4577-0057-6
DOI :
10.1109/ICComm.2012.6262543
