Paper
5 September 2008 Ultraspectral sounder data compression using the non-exhaustive Tunstall coding
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Abstract
With its bulky volume, the ultraspectral sounder data might still suffer a few bits of error after channel coding. Therefore it is beneficial to incorporate some mechanism in source coding for error containment. The Tunstall code is a variable-to- fixed length code which can reduce the error propagation encountered in fixed-to-variable length codes like Huffman and arithmetic codes. The original Tunstall code uses an exhaustive parse tree where internal nodes extend every symbol in branching. It might result in assignment of precious codewords to less probable parse strings. Based on an infinitely extended parse tree, a modified Tunstall code is proposed which grows an optimal non-exhaustive parse tree by assigning the complete codewords only to top probability nodes in the infinite tree. Comparison will be made among the original exhaustive Tunstall code, our modified non-exhaustive Tunstall code, the CCSDS Rice code, and JPEG-2000 in terms of compression ratio and percent error rate using the ultraspectral sounder data.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shih-Chieh Wei and Bormin Huang "Ultraspectral sounder data compression using the non-exhaustive Tunstall coding", Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 708406 (5 September 2008); https://doi.org/10.1117/12.795810
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Cited by 1 scholarly publication.
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KEYWORDS
Data compression

Error analysis

Forward error correction

Infrared radiation

Chromium

Infrared imaging

Atmospheric propagation

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