3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
Hanshen Xiao, Beining Zhou, Guoqiang Xiao
In the second part of the series papers, we set out to study the algorithmic efficiency of sparse sensing. Stemmed from co-prime sensing, we propose a generalized framework, termed…
On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem
Hanshen Xiao, Yaowen Zhang, Guoqiang Xiao
In the first part of the series papers, we set out to answer the following question: given specific restrictions on a set of samplers, what kind of signal can be uniquely represent…
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers
Hanshen Xiao, Guoqiang Xiao
Chinese Remainder Theorem (CRT) is a powerful approach to solve ambiguity resolution related problems such as undersampling frequency estimation and phase unwrapping which are wide…
Robustness in Chinese Remainder Theorem
Hanshen Xiao, Yufeng Huang, Yu Ye +1
Chinese Remainder Theorem (CRT) has been widely studied with its applications in frequency estimation, phase unwrapping, coding theory and distributed data storage. Since tradition…