International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / This paper describes a real-time implementation of the pattern recognition technology
originally developed by BBN [Delatizky et al] for post-processing of time-sampled
telemetry data. This makes it possible to monitor a data stream for a characteristic
shape, such as an arrhythmic heartbeat or a step-response whose overshoot is
unacceptably large. Once programmed to recognize patterns of interest, it generates a
symbolic description of a time-series signal in intuitive, object-oriented terms. The
basic technique is to decompose the signal into a hierarchy of simpler components
using rules of grammar, analogous to the process of decomposing a sentence into
phrases and words.
This paper describes the basic technique used for pattern recognition of time-series
signals and the problems that must be solved to apply the techniques in real time. We
present experimental results for an unoptimized prototype demonstrating that 4000
samples per second can be handled easily on conventional hardware.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/608854 |
| Date | 10 1900 |
| Creators | Morrill, Jeffrey P., Delatizky, Jonathan |
| Contributors | Bolt, Beranek, and Newman Inc. |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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