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GAMPS: Compressing Multi Sensor Data by Grouping and Amplitude Scaling

Summary: GAMPS groups correlated sensor signals and scales amplitudes to meet per-signal L∞ error. It delivers polynomial-time O(alpha,beta) approximations and an index for querying compressed data; experiments show strong space savings with query support. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4225
Venue
SIGMOD
Year
2009
Pagerank
5.624223e-05
Overall Rank
7,414 | 49.14%
DOI
10.1145/1559845.1559926

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gandhi_sigmod09,
        title = {{GAMPS: Compressing Multi Sensor Data by Grouping and Amplitude Scaling}},
        author = {Gandhi, Sorabh and Nath, Suman and Suri, Subhash and Liu, Jie},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559926},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559926},
        year = {2009}
}

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