Prediction of Compression Ratio for Transform-based Lossy Compression in Time-series Datasets-Reference-Cited by-同舟云学术

Prediction of Compression Ratio for Transform-based Lossy Compression in Time-series Datasets

Published:2022-02-13 Issue: Volume: Page:
ISSN:
Container-title:2022 24th International Conference on Advanced Communication Technology (ICACT)
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Author:

Moon Aekyung¹,Park Juyoung¹,Song Yun Jeong¹

Affiliation:

1. ETRI,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9728250/9728768/09728954.pdf?arnumber=9728954

Reference18 articles.

1. Prediction-capable data compression algorithms for improving transmission efficiency on distributed systems

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3. Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm

4. A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications

5. Understanding the impact of lossy compressions on IoT smart farm analytics

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