DATA REDUCTION ALGORITHMS FOR MAGNETIC MEASUREMENT PRE-PROCESSING AT CERN
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.
Event details
- Event
- Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements
- Technical Committee
- TC4
- Place
- Florence, ITALY
- Time
- 22 September 2008 - 24 September 2008
- Website
- http://www.imeko2008.org/