Efficient computation of recurrence quantification analysis via microstates

作者：

Highlights：

• This work uses the notion of microstates to statistically generalize RQA.

• We reduce the time complexity to grow linearly with the series size.

• We eliminate the excessive RAM usage in most recurrence analysis.

摘要

•This work uses the notion of microstates to statistically generalize RQA.•We reduce the time complexity to grow linearly with the series size.•We eliminate the excessive RAM usage in most recurrence analysis.

论文关键词：Recurrence quantification analysis,Microstates,Time complexity,Laminarity,Determinism,Efficient

论文评审过程：Received 23 July 2021, Revised 8 February 2022, Accepted 10 April 2022, Available online 1 May 2022, Version of Record 1 May 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127175