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.
Application of artificial neural networks for spacecraft instrument data compression
Anwendung künstlicher neuronaler Netze bei der Datenkomression von Raumfahrtinstrumenten
Microprocessors and Microsystems ; 20 , 5 ; 285-295
1996
11 Seiten, 18 Quellen
Article (Journal)
English
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