Mean-squared error criterion

Jacob Benesty; Jingdong Chen; Yiteng Huang; Israel Cohen

doi:10.1007/978-3-642-00296-0_4

Mean-squared error criterion

Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen

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

1 Scopus citations

Abstract

Error criteria play a critical role in deriving optimal noise reduction filters. Although many different criteria can be defined, the mean-squared error (MSE) is, by far, the most used one because of its simplicity in terms of deriving useful filters. This chapter presents relevant error signals from which meaningful MSE criteria are built in the different domains.

Original language	English
Title of host publication	Springer Topics in Signal Processing
Publisher	Springer Science and Business Media B.V.
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-00296-0_4
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

Error Signal
Frequency Domain
Human Computer Interaction
Noise Reduction
Reduction Performance

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10.1007/978-3-642-00296-0_4

Cite this

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KW - Reduction Performance

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Mean-squared error criterion

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