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Pearson Correlation Coefficient

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Noise Reduction in Speech Processing

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 2))

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.

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Correspondence to Jacob Benesty .

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© 2009 Springer-Verlag Berlin Heidelberg

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Benesty, J., Chen, J., Huang, Y., Cohen, I. (2009). Pearson Correlation Coefficient. In: Noise Reduction in Speech Processing. Springer Topics in Signal Processing, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00296-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-00296-0_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00295-3

  • Online ISBN: 978-3-642-00296-0

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