This paper describes the use of simple feedforward artificial neural networks for spacecraft instrument data compression. It details the simulations performed for compression of data from the CRRES spacecraft's Iowa plasma wave experiment which contained a swept frequency receiver. Compression performance is compared with results obtained using the adaptive cosine transform coding, which is used to compress data from the Mars 96 Elisma instruments. A compression ratio improvement of over 100% is achieved over adaptive cosine transform coding.


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    Title :

    Application of artificial neural networks for spacecraft instrument data compression


    Additional title:

    Anwendung künstlicher neuronaler Netze bei der Datenkomression von Raumfahrtinstrumenten


    Contributors:
    Reeder, B.M. (author) / Gough, M.P. (author)

    Published in:

    Publication date :

    1996


    Size :

    11 Seiten, 18 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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