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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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
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 |
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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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