@inbook{62cf2fb0035940aea512a73aa5e86c8c,
title = "Pearson correlation coefficient",
abstract = "This chapter develops several forms of the Pearson correlation coefficient in the different domains. This coefficient can be used as an optimization criterion to derive different optimal noise reduction filters [14], but is even more useful for analyzing these optimal filters for their noise reduction performance.",
keywords = "Complex Conjugation, Noise Reduction, Optimization Criterion, Pearson Correlation, Random Vector",
author = "Jacob Benesty and Jingdong Chen and Yiteng Huang and Israel Cohen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.",
year = "2009",
doi = "10.1007/978-3-642-00296-0_5",
language = "英语",
series = "Springer Topics in Signal Processing",
publisher = "Springer Science and Business Media B.V.",
pages = "1--4",
booktitle = "Springer Topics in Signal Processing",
}