Low Cost Data Compression
International Telemetering Conference Proceedings / September 28-30, 1976 / Hyatt House Hotel, Los Angeles, California === The large volumes of raw data involved in telemetry often require compression prior to transmission over a limited data rate channel. If the transmitter is located in a remote l...
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International Foundation for Telemetering
1976
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6093812016-05-15T03:01:18Z Low Cost Data Compression Hellman, Martin E. Stanford University International Telemetering Conference Proceedings / September 28-30, 1976 / Hyatt House Hotel, Los Angeles, California The large volumes of raw data involved in telemetry often require compression prior to transmission over a limited data rate channel. If the transmitter is located in a remote location, power, reliability and cost considerations add the requirement that the encoder be fairly simple, while the decoder can be much more complex. A similar encoder-decoder complexity tradeoff exists if there are many sensing stations (and encoders) but only one receiving station (and decoder). This paper describes a technique which is well suited to such applications in that it places almost all of the computational burden on the decoder, and requires only an extremely simple encoder. 1976-09 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/609381 http://arizona.openrepository.com/arizona/handle/10150/609381 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © International Foundation for Telemetering International Foundation for Telemetering |
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International Telemetering Conference Proceedings / September 28-30, 1976 / Hyatt House Hotel, Los Angeles, California === The large volumes of raw data involved in telemetry often require compression prior to transmission over a limited data rate channel. If the transmitter is located in a remote location, power, reliability and cost considerations add the requirement that the encoder be fairly simple, while the decoder can be much more complex. A similar encoder-decoder complexity tradeoff exists if there are many sensing stations (and encoders) but only one receiving station (and decoder). This paper describes a technique which is well suited to such applications in that it places almost all of the computational burden on the decoder, and requires only an extremely simple encoder. |
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Stanford University |
author_facet |
Stanford University Hellman, Martin E. |
author |
Hellman, Martin E. |
spellingShingle |
Hellman, Martin E. Low Cost Data Compression |
author_sort |
Hellman, Martin E. |
title |
Low Cost Data Compression |
title_short |
Low Cost Data Compression |
title_full |
Low Cost Data Compression |
title_fullStr |
Low Cost Data Compression |
title_full_unstemmed |
Low Cost Data Compression |
title_sort |
low cost data compression |
publisher |
International Foundation for Telemetering |
publishDate |
1976 |
url |
http://hdl.handle.net/10150/609381 http://arizona.openrepository.com/arizona/handle/10150/609381 |
work_keys_str_mv |
AT hellmanmartine lowcostdatacompression |
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1718268533930983424 |