Signal-to-noise ratio in stretch processing

T. Long; Y. Wang; T. Zeng

doi:10.1049/el.2010.0349

Signal-to-noise ratio in stretch processing

T. Long^*, Y. Wang, T. Zeng

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

A comprehensive analysis of the signal-to-noise ratio (SNR) in stretch processing is presented. The key is to calculate the output noise power. Based on the spectral representation theory of stochastic process, a compact formula used to evaluate the noise power is derived and then the output SNR is obtained. Further discussions for different cases are carried out. The results provide a theoretical basis for the SNR analysis.

Original language	English
Pages (from-to)	720-722
Number of pages	3
Journal	Electronics Letters
Volume	46
Issue number	10
DOIs	https://doi.org/10.1049/el.2010.0349
Publication status	Published - 13 May 2010

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Long, T., Wang, Y., & Zeng, T. (2010). Signal-to-noise ratio in stretch processing. Electronics Letters, 46(10), 720-722. https://doi.org/10.1049/el.2010.0349

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abstract = "A comprehensive analysis of the signal-to-noise ratio (SNR) in stretch processing is presented. The key is to calculate the output noise power. Based on the spectral representation theory of stochastic process, a compact formula used to evaluate the noise power is derived and then the output SNR is obtained. Further discussions for different cases are carried out. The results provide a theoretical basis for the SNR analysis.",

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AU - Long, T.

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AU - Zeng, T.

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N2 - A comprehensive analysis of the signal-to-noise ratio (SNR) in stretch processing is presented. The key is to calculate the output noise power. Based on the spectral representation theory of stochastic process, a compact formula used to evaluate the noise power is derived and then the output SNR is obtained. Further discussions for different cases are carried out. The results provide a theoretical basis for the SNR analysis.

AB - A comprehensive analysis of the signal-to-noise ratio (SNR) in stretch processing is presented. The key is to calculate the output noise power. Based on the spectral representation theory of stochastic process, a compact formula used to evaluate the noise power is derived and then the output SNR is obtained. Further discussions for different cases are carried out. The results provide a theoretical basis for the SNR analysis.

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JO - Electronics Letters

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Signal-to-noise ratio in stretch processing

Abstract

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