Search Results - "Soverini, Umberto"

Errors-in-variables identification using maximum likelihood estimation in the frequency domain by Söderström, Torsten, Soverini, Umberto

“…This paper deals with the identification of errors-in-variables (EIV) models corrupted by additive and uncorrelated white Gaussian noises when the noise-free…”
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Frequency domain identification of FIR models in the presence of additive input–output noise by Soverini, Umberto, Söderström, Torsten

“…This paper describes a new approach for identifying FIR models from a finite number of measurements, in the presence of additive and uncorrelated white noise…”
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A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification by Verbeke, Dieter, Söderström, Torsten, Soverini, Umberto

“…Recently, maximum likelihood estimators were derived for frequency domain identification of linear time-invariant models with Gaussian input–output…”
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Identification of errors-in-variables models as a quadratic eigenvalue problem by Diversi, Roberto, Soverini, Umberto

“…The paper proposes a new approach for identifying linear dynamic errors-in-variables (EIV) models, whose input and output are affected by additive white noise…”
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A unified framework for EIV identification methods when the measurement noises are mutually correlated by Söderström, Torsten, Diversi, Roberto, Soverini, Umberto

“…In this paper, the previously introduced Generalized Instrumental Variable Estimator (GIVE) is extended to the case of errors-in-variables models where the…”
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Identification of ARX and ARARX Models in the Presence of Input and Output Noises by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…ARX (AutoRegressive models with eXogenous variables) are the simplest models within the equation error family but are endowed with many practical advantages…”
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Maximum likelihood identification of noisy input–output models by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…This work deals with the identification of errors-in-variables models corrupted by white and uncorrelated Gaussian noises. By introducing an auxiliary process,…”
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Bias Considerations When Identifying Systems from Noisy Input-Output Data - Extensions to General Model Structures by Soderstrom, Torsten, Soverini, Umberto

“…Standard identification methods give biased parameter estimates when recorded signals are corrupted by noise on both input and output sides. In previous papers…”
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Identification of autoregressive models in the presence of additive noise by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…A common approach in modeling signals in many engineering applications consists in adopting autoregressive (AR) models, consisting in filters with transfer…”
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Estimating the number of signals in the presence of nonuniform noise by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…An important problem in sensor array processing is the estimation of the number of transmitted signals. Most of the proposed solutions rely on the assumption…”
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Perspectives on errors-in-variables estimation for dynamic systems by Söderström, Torsten, Soverini, Umberto, Mahata, Kaushik

“…The paper gives an overview of various methods for identifying dynamic errors-in-variables systems. Several approaches are classified by how the original…”
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Blind identification and equalization of multichannel FIR systems in unbalanced noise environments by Guidorzi, Roberto, Diversi, Roberto, Soverini, Umberto

“…This paper considers the problem of identifying and equalizing a set of FIR channels driven by the same input sequence and with outputs affected by unknown…”
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Speech Enhancement Combining Optimal Smoothing and Errors-In-Variables Identification of Noisy AR Processes by Bobillet, W., Diversi, R., Grivel, E., Guidorzi, R., Najim, M., Soverini, U.

“…In the framework of speech enhancement, several parametric approaches based on an a priori model for a speech signal have been proposed. When using an…”
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When Are Errors-in-Variables Aspects Important to Consider in System Identification? by Soderstrom, Torsten, Soverini, Umberto

“…When recorded signals are corrupted by noise on both input and output sides, standard identification methods give biased parameter estimates, due to the…”
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Kalman filtering in extended noise environments by Diversi, R., Guidorzi, R., Soverini, U.

“…This note introduces an extended environment for Kalman filtering that considers also the presence of additive noise on input observations in order to solve…”
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Optimal errors-in-variables filtering by Guidorzi, Roberto, Diversi, Roberto, Soverini, Umberto

“…This paper deals with optimal (minimal variance) filtering in an errors-in-variables framework. Differently from many other contexts, errors-in-variables…”
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Identification of dynamic errors-in-variables models: Approaches based on two-dimensional ARMA modeling of the data by Söderström, Torsten, Mahata, Kaushik, Soverini, Umberto

“…In this paper we propose a parametric and a non-parametric identification algorithm for dynamic errors-in-variables model. We show that the two-dimensional…”
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Identification of ARX and ARARX Models in the Presence of Input and Output Noises. Discussion by DIVERSI, Roberto, GUIDORZI, Roberto, SOVERINI, Umberto, AGÜERO, Juan C, YUZ, Juan I, GOODWIN, Graham C

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Identification of errors-in-variables models with colored output noise by Diversi, Roberto, Soverini, Umberto

“…This paper deals with the problem of identifying linear errors-in-variables (EIV) models corrupted by white noise on the input and colored noise on the output…”
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Blind identification and equalization of two-channel FIR systems in unbalanced noise environments by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…Blind identification is a very significant problem in many contexts where only the output of transmission channels can be observed. The solutions that can be…”
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