Citation

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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Abstract

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
URII:	http://shdl.mmu.edu.my/id/eprint/4648

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