DATA REDUCTION ALGORITHMS FOR MAGNETIC MEASUREMENT PRE-PROCESSING AT CERN |
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| P. Arpaia, M. Buzio, V. Inglese |
- Abstract:
- The principle of a data reduction algorithm, based on real-time adaptive sampling, specifically optimized for high-rate automatic measurement systems, is proposed. An adaptive sampling rule based on power estimation allows the optimum amount of information to be gathered in real time. The sampling rate is adapted when the limit conditions of insufficient/redundant information for the required signal processing is achieved. The tracking condition is defined by the reference power level in the Nyquist band necessary to the required post-processing procedure. Preliminary experimental results of the application to an automatic measurement system for testing superconducting magnets at the European Organization for Nuclear Research are reported.
- Download:
- IMEKO-TC4-2008-182.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements
- Title:
- XVIth IMEKO TC4 International Symposium on Electrical Measurements and Instrumentation (together with 13th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Florence, ITALY
- Time:
- 22 September 2008 - 24 September 2008