On-Board Data Compression of Herschel-PACS Control Data (bibtex)
by Ahmed Nabil Belbachir, Florian Schmitzberger
Abstract:
The aim of this work is to find a dedicated concept for efficient compression of Herschel-PACS control data. These data represent the setting parameters of the different instruments within PACS, which have to be transmitted with scientific data for diagnosis purpose. As these control data have a deterministic variability and because of the limited telemetry bandwidth, it was decided to lossless compress the control data for efficient exploitation of the downlink. In this report, an analysis of the control data has been made and a dedicated compression concept with different entropy coders has been developed and tested on simulated and real data. The obtained results have been evaluated and compared to a state-of-the-art codec.
Reference:
On-Board Data Compression of Herschel-PACS Control Data (Ahmed Nabil Belbachir, Florian Schmitzberger), Technical report, PRIP, TU Wien, 2004.
Bibtex Entry:
@TechReport{TR090,
  author =	 "Ahmed Nabil Belbachir and Florian Schmitzberger",
  title =	 "On-Board Data Compression of Herschel-PACS Control
                  Data",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-090",
  year =	 "2004",
  url =		 "https://www.prip.tuwien.ac.at/pripfiles/trs/tr90.pdf",
  abstract =	 " The aim of this work is to find a dedicated concept
                  for efficient compression of Herschel-PACS control
                  data. These data represent the setting parameters of
                  the different instruments within PACS, which have to
                  be transmitted with scientific data for diagnosis
                  purpose. As these control data have a deterministic
                  variability and because of the limited telemetry
                  bandwidth, it was decided to lossless compress the
                  control data for efficient exploitation of the
                  downlink. In this report, an analysis of the control
                  data has been made and a dedicated compression
                  concept with different entropy coders has been
                  developed and tested on simulated and real data. The
                  obtained results have been evaluated and compared to
                  a state-of-the-art codec.",
}
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