Abstract
A method based on the estimation of the multivariate autoregressive model (MAR-model) is introduced to analyze multichannel data. Because the MAR-model is a black-box model and can describe systems with feedback-loops, it table for the analysis of complex closed-loop multivariate systems. The authors identify the MAR-model and, based on the model, decompose the multichannel spectral matrix. The proposed method offers a new possibility to analyze systems of which there is no exact prior knowledge of internal structures.
| Original language | English |
|---|---|
| Title of host publication | IEEE Instrumentation and Measurement Technology Conference |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 315-318 |
| ISBN (Print) | 0-87942-579-2 |
| DOIs | |
| Publication status | Published - 1991 |
| MoE publication type | A4 Article in a conference publication |
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Cite this
Suoranta, R., & Rantala, S. (1991). Utilizing multivariate autoregressive model to reveal internal dependences in multichannel measurement data. In IEEE Instrumentation and Measurement Technology Conference (pp. 315-318). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IMTC.1991.161603