@inproceedings{88afd3f40ff84eed97426b68b632f49f,
title = "Energy-efficient digital filtering using ML-based error correction (ML-EC) technique",
abstract = "In this paper, we present a maximum likelihood-based error correction (ML-EC) technique which achieves significant power savings in digital filtering. Although voltage over-scaling (VOS) can achieve high energy efficiency, it can introduce {"}soft errors{"} which severely degrade the performance of the filter. The proposed scheme detects, estimates and corrects these soft errors via an ML-based algorithm that achieves up to 47% power savings without any SNR loss and up to 60% power savings with a 1.5 dB SNR loss for an example case study of a frequency-selective low-pass filter.",
author = "Choi, {Jun Won} and Byonghyo Shim and Singer, {Andrew Carl} and Cho, {Nam Ik}",
year = "2005",
doi = "10.1109/ICASSP.2005.1416113",
language = "English (US)",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions",
address = "United States",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}