Denne identifikatoren kan du bruke til å sitere eller lenke til denne innførselen:
http://hdl.handle.net/2282/387
|
| Tittel: | Dynamic system multivariate calibration with low-sampling-rate y data |
| Forfattere: | Ergon, Rolf
Halstensen, Maths |
| Dato: | 2000 |
| Forlagets versjon: | http://dx.doi.org/10.1002/1099-128X(200009/12)14:5/6<617::AID-CEM618>3.0.CO;2-M |
| Sammendrag: | When the data in principal component regression (PCR) or partial least squares regression (PLSR) form time
series, it may be possible to improve the prediction/estimation results by utilizing the correlation between
neighboring observations. The estimators may then be identified from experimental data using system
identification methods. This is possible also in cases where the response variables in the experimental data are
sampled at a low and possibly irregular rate, while the regressor variables are sampled at a higher rate. After a
discussion of the options available, the paper shows how the autocorrelation of the regressor variables in such
multirate sampling cases may be utilized by identification of parsimonious output error (OE) estimators. An
example using acoustic power spectrum regressor data is finally presented. |
| Nøkkelord: | Dynamic
Multivariate
Calibration
Multirate |
| Forlag: | Wiley |
| Dokumenttype: | Journal article |
| URI: | http://hdl.handle.net/2282/387 |
| Vises i samlingene: | Institutt for elektro, IT og kybernetikk
|
Denne innførselen er lisensiert under en brukslisens. Alle innførsler i TEORA er beskyttet av opphavsrett.
|
