Real-time data compression using a fixed Huffman encoding scheme

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Description

A common limitation to performance in data acquisition systems is storage of the collected data. Compressing the data would increase the amount of data that could be stored. However, most compression routines require that the data be collected and analyzed before compression is performed. Also, these compression routines often store the information required for decompression along with the data, thus decreasing the storage available for data. One solution to this problem is to create an encoding tree known to both the encoder and the decoder based on apriori knowledge of the data. Once the tree is created, optimal encoding schemes ... continued below

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40 p.

Creation Information

Kidner, R.E. January 1, 1995.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 22 times . More information about this report can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

A common limitation to performance in data acquisition systems is storage of the collected data. Compressing the data would increase the amount of data that could be stored. However, most compression routines require that the data be collected and analyzed before compression is performed. Also, these compression routines often store the information required for decompression along with the data, thus decreasing the storage available for data. One solution to this problem is to create an encoding tree known to both the encoder and the decoder based on apriori knowledge of the data. Once the tree is created, optimal encoding schemes such as the Huffman algorithm may be used on the data as it is being collected. In this way the data is compressed as each byte is received and there is no overhead associated with storing decompression data. In this paper the idea of using a fixed Huffman tree is explored and the results are compared to a defacto standard in data compression, PKZIP.

Physical Description

40 p.

Notes

OSTI as DE95006159

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  • Other Information: PBD: Jan 1995

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  • Other: DE95006159
  • Report No.: SAND--94-3172
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/29404 | External Link
  • Office of Scientific & Technical Information Report Number: 29404
  • Archival Resource Key: ark:/67531/metadc680665

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • January 1, 1995

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • April 14, 2016, 6:39 p.m.

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Kidner, R.E. Real-time data compression using a fixed Huffman encoding scheme, report, January 1, 1995; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc680665/: accessed April 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.