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

FRF parameter identification with arbitrary input sequence from noisy input–output measurements / Soverini U.; Catania G.. - ELETTRONICO. - (2014), pp. 551-556. (Intervento presentato al convegno 21st International Symposium on Mathematical Theory of Networks and Systems tenutosi a Groningen, The Netherlands nel July 7-11, 2014).

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 known
2014
21st International Symposium on Mathematical Theory of Networks and Systems
551
556
FRF parameter identification with arbitrary input sequence from noisy input–output measurements / Soverini U.; Catania G.. - ELETTRONICO. - (2014), pp. 551-556. (Intervento presentato al convegno 21st International Symposium on Mathematical Theory of Networks and Systems tenutosi a Groningen, The Netherlands nel July 7-11, 2014).
Soverini U.; Catania G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/371119
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