Performance comparison of SNR estimators in Gaussian mixture noise


Lo, Ying Siew and Lim, Heng Siong and Tan, Alan Wee Chiat (2011) Performance comparison of SNR estimators in Gaussian mixture noise. In: 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE Xplore, pp. 327-331. ISBN 978-1-4577-0243-3

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Most of the signal-to-noise ratio (SNR) estimators published in literature are designed based on Gaussian noise assumption. These estimation schemes typically perform poorly when the additive noise has a non-Gaussian distribution. This paper investigates the robustness of several popular SNR estimators in two-term Gaussian mixture noise. The Cramer-Rao bound is derived and used as a benchmark against which the performance of the estimators is measured. Simulations results show that the SNR estimators suffer performance degradation in non-Gaussian noise channels

Item Type: Book Section
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 24 Dec 2013 00:50
Last Modified: 29 Dec 2020 06:43


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