Abstract
Coherence analysis enables the studying of linear dependencies between multichannel time series. In the case of a multivariate autoregressive (MAR) spectrum the conventional coherence analysis can be applied. However, since we are able to decompose the MAR spectrum, there is a possibility to gain more information through coherence analysis based on conditioned spectra than with conventional methods. The authors formulate the coherence analysis based on the conditioned MAR spectra (reduced and noise conditioned spectra) by giving related definitions for partial and multiple coherences.
Original language | English |
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Title of host publication | Proceedings of ICASSP '94 |
Subtitle of host publication | IEEE International Conference on Acoustics, Speech and Signal Processing |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 381-384 |
ISBN (Print) | 978-0-7803-1775-8 |
DOIs | |
Publication status | Published - 1994 |
MoE publication type | A4 Article in a conference publication |
Event | 1994 IEEE International Conference on Acoustics, Speech and Signal Processing - Adelaide, Australia Duration: 19 Apr 1994 → 22 Apr 1994 |
Conference
Conference | 1994 IEEE International Conference on Acoustics, Speech and Signal Processing |
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Country/Territory | Australia |
City | Adelaide |
Period | 19/04/94 → 22/04/94 |