This paper deals with the identification of errors–in–variables (EIV) models corrupted by additive and uncorrelated white noises when the noise–free input is an arbitrary signal, not necessarily periodic. In particular, a frequency domain method is proposed, under the assumption that the ratio of the noise variances is known
Soverini U., Catania G. (2014). FRF parameter identification with arbitrary input sequence from noisy input–output measurements.
FRF parameter identification with arbitrary input sequence from noisy input–output measurements
SOVERINI, UMBERTO;CATANIA, GIUSEPPE
2014
Abstract
This paper deals with the identification of errors–in–variables (EIV) models corrupted by additive and uncorrelated white noises when the noise–free input is an arbitrary signal, not necessarily periodic. In particular, a frequency domain method is proposed, under the assumption that the ratio of the noise variances is knownFile in questo prodotto:
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