Search Results - "Soverini, U"

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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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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Identification of dynamic errors-in-variables models by Castaldi, P., Soverini, U.

“…This paper deals with the identifiability of scalar dynamic errors-in-variables models characterized by rational spectra. The hypothesis of causality for the…”
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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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A comparison among different inversion methods for multi-exponential NMR relaxation data by Borgia, G C, Bortolotti, V, Brown, R J, Castaldi, P, Fantazzini, P, Soverini, U

“…The inversion of data to be represented by sums or continuous distributions of exponentials is done by different algorithms and compared. The published CONTIN…”
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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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Robust residual generation for dynamic processes using de-coupling technique by Diversi, R., Simani, S., Soverini, U.

“…The work presents some results concerning robust fault detection for dynamic processes using a disturbance decoupling technique. The first step of the approach…”
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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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Algorithms for optimal errors-in-variables filtering by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…This paper introduces a new algorithm for optimal filtering of data generated by errors-in-variables processes and compares its efficiency with that of two…”
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Identification of static errors-in-variables models: the rank reducibility problem by Soverini, Umberto, Beghelli, Sergio

“…The problem of identifying linear static relations from noisy data is investigated under the assumptions of the Frisch scheme. The work presents an attempt to…”
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Identification of multivariable errors-in-variables models by Castaldi, P., Diversi, R., Guidorzi, R., Soverini, U.

“…The paper deals with a new identification approach, based on a prediction error method, for multivariable errors-in-variables models (EIV). Starting from the…”
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A new approach for identifying noisy input-output FIR models by Diversi, R., Guidorzi, R., Soverini, U.

“…This paper proposes an efficient algorithm for identifying FIR models when also the input is assumed as affected by additive noise. This procedure is more…”
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A noise-compensated estimation scheme for AR processes by Diversi, R., Guidorzi, R., Soverini, U.

“…This paper deals with the problem of identifying autoregressive models in presence of additive measurement noise. A new approach, based on some theoretical…”
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A frequential approach for errors-in-variables models by Beghelli, S., Castaldi, P., Soverini, U.

“…This paper presents an identification method for errors-in-variables systems with input-output measurements affected by white and mutually correlated noises…”
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Identification of residual generators for fault detection of linear dynamic models by Simani, S., Diversi, R., Soverini, U.

“…Classical model-based fault detection schemes for linear multivariable systems require the definition of suitable residual functions. This paper shows the…”
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WWW implementation of an identification course: structure and users' evaluation by Guidorzi, R.P., Soverini, U., Castaldi, P., Diversi, R.

“…This paper describes the structure of the course Dynamic System Identification that has been designed as an experimental multicampus solution, based on Web…”
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