Compressing Historical Information in Sensor Networks
Summary: Compressing multi-stream historical sensor data using a base signal to encode piecewise linear correlations across measurements. Efficient feature extraction and encoding yield data reduction and outperform Wavelets, Histograms, and DCT on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
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