@inproceedings{5af960e10e13491b90b3f78dbc1c5ca8,
title = "Adaptive frequency estimation with low sampling rates based on robust chinese remainder theorem and IIR notch filter",
abstract = "In this paper, based on an adaptive DR notch filter and a robust Chinese remainder theorem (CRT), we propose a frequency estimation algorithm from multiple undersampled signals. Our proposed algorithm can significantly reduce the sampling rates and provide more accurate estimates than the method based on adaptive IIR notch filter and sampling rates above the Nyquist rates does. We then present simulation results to verify the performance of our proposed algorithm for both stationary and nonstationary signals.",
keywords = "Adaptive IIR notch filter, Chinese remainder theorem (CRT) frequency estimation, Robust CRT, Undersampttng",
author = "Hong Liang and Xiaowei Li and Xia, {Xiang Gen}",
year = "2009",
doi = "10.1109/ICIEA.2009.5138759",
language = "English",
isbn = "9781424428007",
series = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009",
pages = "2999--3004",
booktitle = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009",
note = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 ; Conference date: 25-05-2009 Through 27-05-2009",
}