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FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series

Summary: FLEA is a lossless compressor for periodic time series that quantizes frequency-domain coefficients while encoding time-domain residuals. An energy-based rate-optimal search and adaptive coefficient/residual partitioning deliver state-of-the-art compression with fast decoding, integrated into Apache TsFile. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7436
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,245 | 29.72%
DOI
10.1145/3802063

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BibTeX Citation

@inproceedings{xia_sigmod26,
        title = {{FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series}},
        author = {Xia, Tianrui and Xiao, Jinzhao and Song, Shaoxu},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802063},
        url = {https://dl.acm.org/doi/10.1145/3802063},
        year = {2026}
}

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