A Lossless Compression Algorithm Based on Differential and Canonical Huffman Encoding for Spaceborne Magnetic Data-Reference-Cited by-同舟云学术

A Lossless Compression Algorithm Based on Differential and Canonical Huffman Encoding for Spaceborne Magnetic Data

Published:2020-03-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing
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Author:

Li Li¹,Liu Huijie¹,Zhu Ye¹,Liang Xuwen¹,Liu Lei²

Affiliation:

1. Innovation Academy for Microsatellites of CAS, Shanghai, China; Shanghai Engineering Center for Microsatellites, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China

2. Innovation Academy for Microsatellites of CAS, Shanghai, China; Shanghai Engineering Center for Microsatellites, Shanghai, China

Publisher

ACM

Reference23 articles.

1. Ge J. et al. 2016. Overhauser geomagnetic sensor based on the dynamic nuclear polarization effect for magnetic prospecting. Sensors (Switzerland). 16 6 (2016). DOI=https://doi.org/10.3390/s16060806. Ge J. et al. 2016. Overhauser geomagnetic sensor based on the dynamic nuclear polarization effect for magnetic prospecting. Sensors (Switzerland). 16 6 (2016). DOI=https://doi.org/10.3390/s16060806.

2. An Attitude Filtering and Magnetometer Calibration Approach for Nanosatellites

3. Satellite drag effects due to uplifted oxygen neutrals during super magnetic storms

4. Geomagnetic Observations for Main Field Studies: From Ground to Space

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