AbstractWe have developed a general purpose data compression algorithm using Chebyshev polynomials which preserves the needed information for quantitative scientific analysis. The algorithm is computationally simple yet provides compression factors much greater than two. This method is suitable for compression of science data from many types of space instruments, including spectral data, particle or photon count rate data, and magnetometer data. Presently available data compression schemes are not well suited for such scientific data streams and are not generally used. We present the status of our development effort of this algorithm and its potential implementation on future space qualified flight processors.


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    Title :

    A new compression algorithm for spectral and time-series data


    Contributors:

    Published in:

    Acta Astronautica ; 52 , 2-6 ; 487-492


    Publication date :

    2002-01-01


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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