The Experts below are selected from a list of 201 Experts worldwide ranked by ideXlab platform
Sergio M. Savaresi - One of the best experts on this subject based on the ideXlab platform.
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Poles identification of an analog filter for Nuclear Spectroscopy via subspace-based techniques
IEEE Transactions on Control Systems Technology, 2000Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, F. Gatti, Sergio M. SavaresiAbstract:In this paper, a method for the identification of the poles-zeros position of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a subspace-based system state-space identification (4SID) method, which is well suited to a data set constituted by a noisy measurement of the impulse response of the circuit. The 4SID method is complemented with a preprocessing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
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Enhancing accuracy in energy measurement of Nuclear Spectroscopy signals by identification techniques
IMTC 98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 1998Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, E. Gatti, Sergio M. SavaresiAbstract:In Nuclear Spectroscopy, mixed analog-digital signal conditioning has proven to be useful to enhance the energy resolution of the instrument. Analog filters are used to preshape the signal in such a way as to minimise the requirements set to the analog-to-digital converter. However, it is necessary to accurately identify the singularities of the analog filter, to make the subsequent digital processing possible. In this paper, we address the problem of identifying the poles of the analog filter. We discuss the required precision of the identification method. We address the problem of the experimental measurement of the filter behaviour without hardware overhead. We implement a subspace-based identification method capable of determining the filter singularities with the required accuracy and precision. Experimental results show that a noticeable enhancement of the setup energy resolution is obtained.
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An Application of Subspace-Based Techniques to Nuclear Spectroscopy
IFAC Proceedings Volumes, 1997Co-Authors: Sergio Bittanti, Emilio Gatti, Giancarlo Ripamonti, Sergio M. SavaresiAbstract:Abstract In this paper, a method for the identification of the transfer function of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a Subspace-based System State-Space Identification method, complemented with a pre-processing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
Giancarlo Ripamonti - One of the best experts on this subject based on the ideXlab platform.
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Poles identification of an analog filter for Nuclear Spectroscopy via subspace-based techniques
IEEE Transactions on Control Systems Technology, 2000Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, F. Gatti, Sergio M. SavaresiAbstract:In this paper, a method for the identification of the poles-zeros position of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a subspace-based system state-space identification (4SID) method, which is well suited to a data set constituted by a noisy measurement of the impulse response of the circuit. The 4SID method is complemented with a preprocessing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
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Optimum filters from experimentally measured noise in high resolution Nuclear Spectroscopy
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 1998Co-Authors: E. Gatti, Angelo Geraci, Giancarlo RipamontiAbstract:Abstract We introduce a general method for calculating the optimum filter for high-resolution Nuclear Spectroscopy starting from an experimentally measured noise spectrum. The method is based on fitting the experimental noise, recorded in a finite bandwidth, by a truncated Laurent series approximation. The procedure of evaluating the noise power spectral density and of synthesizing the corresponding optimum filter is fully developed and applied to a typical example.
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Enhancing accuracy in energy measurement of Nuclear Spectroscopy signals by identification techniques
IMTC 98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 1998Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, E. Gatti, Sergio M. SavaresiAbstract:In Nuclear Spectroscopy, mixed analog-digital signal conditioning has proven to be useful to enhance the energy resolution of the instrument. Analog filters are used to preshape the signal in such a way as to minimise the requirements set to the analog-to-digital converter. However, it is necessary to accurately identify the singularities of the analog filter, to make the subsequent digital processing possible. In this paper, we address the problem of identifying the poles of the analog filter. We discuss the required precision of the identification method. We address the problem of the experimental measurement of the filter behaviour without hardware overhead. We implement a subspace-based identification method capable of determining the filter singularities with the required accuracy and precision. Experimental results show that a noticeable enhancement of the setup energy resolution is obtained.
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An Application of Subspace-Based Techniques to Nuclear Spectroscopy
IFAC Proceedings Volumes, 1997Co-Authors: Sergio Bittanti, Emilio Gatti, Giancarlo Ripamonti, Sergio M. SavaresiAbstract:Abstract In this paper, a method for the identification of the transfer function of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a Subspace-based System State-Space Identification method, complemented with a pre-processing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
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On the optimum area-balanced filters for Nuclear Spectroscopy☆
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 1996Co-Authors: Giancarlo Ripamonti, Alberto PulliaAbstract:Abstract The minimum noise Area-Balanced (A-B) filters for Nuclear Spectroscopy are disentangled in the sum of two optimized individual filters. The former is the unipolar finite cusp filter, used for pulse amplitude estimation but affected by baseline shift errors, the latter is a specific filter used for baseline estimation. Each of them is optimized so as to give the minimum noise in the estimation of the pulse amplitude or of its baseline level. It is shown that double optimisation produces an overall optimum filter exhibiting a total noise V n 2 equal to the sum of the noises V n1 2 and V n2 2 exhibited by each filter individually. This is a consequence of the orthogonality of the individual filter weight-functions in a function space where the norm is defined as V 2 n .
Sergio Bittanti - One of the best experts on this subject based on the ideXlab platform.
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Poles identification of an analog filter for Nuclear Spectroscopy via subspace-based techniques
IEEE Transactions on Control Systems Technology, 2000Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, F. Gatti, Sergio M. SavaresiAbstract:In this paper, a method for the identification of the poles-zeros position of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a subspace-based system state-space identification (4SID) method, which is well suited to a data set constituted by a noisy measurement of the impulse response of the circuit. The 4SID method is complemented with a preprocessing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
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Enhancing accuracy in energy measurement of Nuclear Spectroscopy signals by identification techniques
IMTC 98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 1998Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, E. Gatti, Sergio M. SavaresiAbstract:In Nuclear Spectroscopy, mixed analog-digital signal conditioning has proven to be useful to enhance the energy resolution of the instrument. Analog filters are used to preshape the signal in such a way as to minimise the requirements set to the analog-to-digital converter. However, it is necessary to accurately identify the singularities of the analog filter, to make the subsequent digital processing possible. In this paper, we address the problem of identifying the poles of the analog filter. We discuss the required precision of the identification method. We address the problem of the experimental measurement of the filter behaviour without hardware overhead. We implement a subspace-based identification method capable of determining the filter singularities with the required accuracy and precision. Experimental results show that a noticeable enhancement of the setup energy resolution is obtained.
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An Application of Subspace-Based Techniques to Nuclear Spectroscopy
IFAC Proceedings Volumes, 1997Co-Authors: Sergio Bittanti, Emilio Gatti, Giancarlo Ripamonti, Sergio M. SavaresiAbstract:Abstract In this paper, a method for the identification of the transfer function of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a Subspace-based System State-Space Identification method, complemented with a pre-processing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
T. Trigano - One of the best experts on this subject based on the ideXlab platform.
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Data-driven parameter selection for activity estimation in Nuclear Spectroscopy
Signal Processing, 2018Co-Authors: T. Trigano, Y. SepulcreAbstract:Abstract One of the main objectives of Nuclear Spectroscopy is the estimation of the counting rate of unknown radioactive sources. Recently an algorithm based on a sparse reconstruction of the time signal was proposed by the authors to estimate precisely this counting rate, and computable bounds were obtained to quantify the performances. This approach, based on a post-processed approach of a non-negative sparse regression of the time signal, relies on user-defined parameters which are difficult to set up automatically in practice. This paper presents a data-driven strategy to select the underlying parameters. The parameter controlling the sparsity of the regressor is chosen based on cross-validation, while we introduce a new, entropy-based, criterion to select the threshold parameters. Results obtained on simulations illustrate the efficiency of the proposed approach.
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EUSIPCO - Terated sparse reconstruction for activity estimation in Nuclear Spectroscopy
2012Co-Authors: Y. Sepulcre, T. TriganoAbstract:The aim of Nuclear Spectroscopy is to provide as many information as possible regarding the activity and the content of an unknown radioactive source. Due to some random perturbations called pileup phenomenon, electrical pulses recorded by the spectrometric apparatus may overlap. Recent developments in compressive sensing and sparse signal reconstruction allow us to build efficient algorithms for the estimation of the activity. We suggest in this paper an iterative algorithm which improves this estimation. This algorithm is based on successive sparse approximations of the residual signal with a slowly decreasing sparsity parameter, so that at each step pulses with smaller amplitude are detected. The algorithm is detailed and its performances compared to other methods based on sparse reconstruction. Results show that the proposed approach perform better than the state-of-the-art methods, and emphasize the usefulness of the iterative scheme.
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Terated sparse reconstruction for activity estimation in Nuclear Spectroscopy
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012Co-Authors: Y. Sepulcre, T. TriganoAbstract:The aim of Nuclear Spectroscopy is to provide as many information as possible regarding the activity and the content of an unknown radioactive source. Due to some random perturbations called pileup phenomenon, electrical pulses recorded by the spectrometric apparatus may overlap. Recent developments in compressive sensing and sparse signal reconstruction allow us to build efficient algorithms for the estimation of the activity. We suggest in this paper an iterative algorithm which improves this estimation. This algorithm is based on successive sparse approximations of the residual signal with a slowly decreasing sparsity parameter, so that at each step pulses with smaller amplitude are detected. The algorithm is detailed and its performances compared to other methods based on sparse reconstruction. Results show that the proposed approach perform better than the state-of-the-art methods, and emphasize the usefulness of the iterative scheme.
F. Gatti - One of the best experts on this subject based on the ideXlab platform.
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Poles identification of an analog filter for Nuclear Spectroscopy via subspace-based techniques
IEEE Transactions on Control Systems Technology, 2000Co-Authors: Sergio Bittanti, Giancarlo Ripamonti, F. Gatti, Sergio M. SavaresiAbstract:In this paper, a method for the identification of the poles-zeros position of an analog amplifier for Nuclear Spectroscopy is presented. The proposed technique is based upon a subspace-based system state-space identification (4SID) method, which is well suited to a data set constituted by a noisy measurement of the impulse response of the circuit. The 4SID method is complemented with a preprocessing technique of the data, which improves the accuracy of the estimation. The identification method is tested both on simulated and real data sets.
