Specific lossless and lossy data compression algorithms are successfully utilized in spacecraft telemetry systems
Specific lossy and lossless data compression algorithms are routinely and successfully implemented in spacecraft telemetry and instrument systems to maximize data return under severe bandwidth constraints.
The retrieved papers provide direct empirical evidence that various lossy and lossless compression algorithms (such as predictive lossless compression, JPEG, LZW, and customized instrument compressors) are successfully deployed in spacecraft telemetry and science data systems.
Malin MC, Ravine MA, Caplinger MA, Tony Ghaemi F, Schaffner JA, Maki JN, Bell JF 3rd, Cameron JF, Dietrich WE, Edgett KS, Edwards LJ, Garvin JB, Hallet B, Herkenhoff KE, Heydari E, Kah LC, Lemmon MT, Minitti ME, Olson TS, Parker TJ, Rowland SK, Schieber J, Sletten R, Sullivan RJ, Sumner DY, Aileen Yingst R, Duston BM, McNair S, Jensen EH. The Mars Science Laboratory (MSL) Mast cameras and Descent imager: Investigation and instrument descriptions.. 2017. https://doi.org/10.1002/2016ea000252
Paper [3] notes that spacecraft imaging instruments utilize lossy JPEG and predictive lossless compression algorithms.
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P. Martinez-Julia, Ved P. Kafle, H. Asaeda. A Novel Telemetry Compression Method for Enhancing Network Resilience. 2023. https://doi.org/10.1109/ICIN56760.2023.10073476
Paper [9] examines lossy and lossless telemetry compression algorithms designed to maximize information encoding and network resilience.
Yigen He, Xuesen Shi, Yongqing Wang. A Modified LZW Algorithm Based on a Character String Parallel Search in Cluster-Based Telemetry Data Compression. 2022. https://doi.org/10.3390/electronics11172656
Paper [10] proposes and evaluates modified LZW lossless compression algorithms specifically for efficient space telemetry data compression.
Hua Xie, R. West, B. Seignovert, J. Jewell, W. Kurth, T. Averkamp. Compression algorithms for high-data-volume instruments on planetary missions: a case study for the Cassini mission. 2021. https://doi.org/10.1117/1.JATIS.7.2.028002
Paper [11] investigates and successfully implements lossy and lossless data compression algorithms to boost science data return on planetary missions like Cassini.
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