Pearson correlation coefficient

Jacob Benesty; Jingdong Chen; Yiteng Huang; Israel Cohen

doi:10.1007/978-3-642-00296-0_5

Pearson correlation coefficient

Jacob Benesty
, Jingdong Chen
, Yiteng Huang
, Israel Cohen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2376 Scopus citations

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.

Original language	English
Title of host publication	Springer Topics in Signal Processing
Publisher	Springer Science and Business Media B.V.
Pages	1-4
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-00296-0_5
State	Published - 2009
Externally published	Yes

Publication series

Name	Springer Topics in Signal Processing
Volume	2
ISSN (Print)	1866-2609
ISSN (Electronic)	1866-2617

Keywords

Complex Conjugation
Noise Reduction
Optimization Criterion
Pearson Correlation
Random Vector

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10.1007/978-3-642-00296-0_5

Cite this

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keywords = "Complex Conjugation, Noise Reduction, Optimization Criterion, Pearson Correlation, Random Vector",

author = "Jacob Benesty and Jingdong Chen and Yiteng Huang and Israel Cohen",

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AU - Huang, Yiteng

AU - Cohen, Israel

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2009.

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Y1 - 2009

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KW - Complex Conjugation

KW - Noise Reduction

KW - Optimization Criterion

KW - Pearson Correlation

KW - Random Vector

UR - https://www.scopus.com/pages/publications/84979779583

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DO - 10.1007/978-3-642-00296-0_5

M3 - 章节

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BT - Springer Topics in Signal Processing

PB - Springer Science and Business Media B.V.

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Pearson correlation coefficient

Abstract

Publication series

Keywords

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