The following publications are possibly variants of this publication:
- Adaptive Frequency Estimation with Low Sampling Rates Based on Robust Chinese Remainder Theorem and IIR notch FilterHong Liang, Xiaowei Li, Xiang-Gen Xia. aada, 1(4):587-600, 2009. [doi]
- A robust Chinese remainder theorem with its applications in frequency estimation from undersampled waveformsXiaowei Li 0000, Hong Liang, Xiang-Gen Xia. tsp, 57(11):4314-4322, 2009. [doi]
- A new robust Chinese remainder theorem with improved performance in frequency estimation from undersampled waveformsLi Xiao, Xiang-Gen Xia. sigpro, 117:242-246, 2015. [doi]
- A generalized Chinese remainder theorem for residue sets with errors and its application in frequency determination from multiple sensors with low sampling ratesXiang-Gen Xia, Kejing Liu. spl, 12(11):768-771, 2005. [doi]
- A Fast Robust Chinese Remainder Theorem Based Phase Unwrapping AlgorithmXiaowei Li 0006, Xiang-Gen Xia. spl, 15:665-668, 2008. [doi]
- An ML estimation based robust Chinese remainder theorem for realsWenjie Wang, Xiaoping Li, Xiang-Gen Xia. chinasip 2015: 363-367 [doi]