- Abstract:
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Data rates from the Square Kilometre Array will be huge, rivalling the sum total of current global internet traffic. This deluge of data prompts a demand for significant progress in techniques for signal processing, data analysis and time-series modelling of vast data sets. Developing novel, real-time, machine learning algorithms is paramount if the SKA project is to meet its science objectives [1]. As a case study in SKA data analysis, this paper outlines some intrinsic difficulties in the s...
Expand abstract - Publisher copy:
- 10.1109/URSIGASS.2014.6930049
-
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- Publisher:
- Institute of Electrical and Electronics Engineers Inc.
- Publication date:
- 2014-10-17
- DOI:
- URN:
-
uuid:6b4afbea-0ab8-4e97-811b-1660b1172b77
- Source identifiers:
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502912
- Local pid:
- pubs:502912
- ISBN:
- 9781467352253
- Copyright date:
- 2014
Conference
New approaches for the real-time detection of binary pulsars with the Square Kilometre Array (SKA)
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