@TechReport{TR075,
  author =	 "Ahmed Nabil Belbachir and Horst Bischof",
  title =	 "On Board {D}ata {C}ompression: {D}istortion and
                  {C}omplexity {R}elated {A}spects",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-075",
  year =	 "2003",
  url =		 "https://www.prip.tuwien.ac.at/pripfiles/trs/tr75.pdf",
  abstract =	 "Digital signal Processing (DSP), and in particular
                  data analysis and compression, has been studied for
                  many years. However, only the recent advances in
                  computing technology have made it possible to use
                  DSP in day-to-day applications. Users expect the
                  data to be transmitted in a minimum of time and to
                  take up as little storage space as possible. These
                  requirements call for efficient data compression
                  algorithms in term of results quality and
                  algorithmic complexity. The users want a good data
                  quality with very fast compression and decompression
                  as not to have to wait for data to be
                  usable. Therefore, an accurate investigation on
                  compression algorithms performances has to be
                  performed. The performance of an algorithm can be
                  analyzed using two criteria: the result quality
                  i.e. high Signal-to-Noise Ratio vs Compression ratio
                  and the algorithmic complexity. This report
                  addresses both aspects of compression. In the first
                  part of the report, noise influence on the
                  compression method is stressed. The notion of
                  algorithmic complexity is formalized using both
                  approaches qualitative and quantitative in the
                  second part of the report. In the third part, an new
                  concept 'Integrated data compression' is
                  introduced. In this part, we provide an optimization
                  of On-board compression algorithm in terms of
                  algorithm complexity and results quality,
                  introducing a distributed exploitation of the data
                  in both sides remote and user side. Application
                  results of the method for the case study
                  'HERSCHEL/PACS Infrared Camera and Spectrometer' are
                  presented in an other paper.",
}