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Pierre-olivier Amblard - One of the best experts on this subject based on the ideXlab platform.

  • Stochastic resonance in discrete time nonlinear AR(1) models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power; the system resounds stochastically. Continuous-time systems have already been studied. We study the ability of intrinsically discrete-time systems [general nonlinear AR(1) models] to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing.

  • Stochastic Resonance in Discrete Time Nonlinear AR(1) Models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power: the system resounds stochastically. Continuous-time systems have already been studied. In this paper we study the ability of intrinsically discrete-time systems (general nonlinear AR(1) models) to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing.

  • Stochastic resonance in discrete time nonlinear AR(1) models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    Un erratum lui est associé (voir notice séparée) Erratum: Stochastic Resonance in Discrete Time Nonlinear AR(1) models [IEEE trans. on SP, vol. 47, no. 1, pp. 108-122 January 1999] DOI: 10.1109/78.917814 vol. 49, no. 5, pp. 1107-1109, 2001This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power: the system resounds stochastically. Continuous-time systems have already been studied. In this paper we study the ability of intrinsically discrete-time systems (general nonlinear AR(1) models) to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing

Steeve Zozor - One of the best experts on this subject based on the ideXlab platform.

  • Stochastic resonance in discrete time nonlinear AR(1) models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power; the system resounds stochastically. Continuous-time systems have already been studied. We study the ability of intrinsically discrete-time systems [general nonlinear AR(1) models] to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing.

  • Stochastic Resonance in Discrete Time Nonlinear AR(1) Models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power: the system resounds stochastically. Continuous-time systems have already been studied. In this paper we study the ability of intrinsically discrete-time systems (general nonlinear AR(1) models) to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing.

  • Stochastic resonance in discrete time nonlinear AR(1) models
    IEEE Transactions on Signal Processing, 1999
    Co-Authors: Steeve Zozor, Pierre-olivier Amblard
    Abstract:

    Un erratum lui est associé (voir notice séparée) Erratum: Stochastic Resonance in Discrete Time Nonlinear AR(1) models [IEEE trans. on SP, vol. 47, no. 1, pp. 108-122 January 1999] DOI: 10.1109/78.917814 vol. 49, no. 5, pp. 1107-1109, 2001This paper deals with stochastic resonance. This nonlinear physical phenomenon generally occurs in bistable systems excited by random Input Noise plus a sinusoid. Through its internal dynamics, such a system forces cooperation between the Input Noise and the Input sine: provided the existence of fine tuning between the Power Noise and the dynamics, the system reacts periodically at the frequency of the sine. Of particular interest is the fact that the local output signal-to-Noise ratio presents a maximum when plotted against the Input Noise Power: the system resounds stochastically. Continuous-time systems have already been studied. In this paper we study the ability of intrinsically discrete-time systems (general nonlinear AR(1) models) to produce stochastic resonance. It is then suggested that such discrete systems can be used in signal processing

D. Barrettino - One of the best experts on this subject based on the ideXlab platform.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE Transactions on Biomedical Circuits and Systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • I2MTC - A low-cost, low-Power, 10MHz multifrequency impedance analyzer
    2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2018
    Co-Authors: D. Barrettino
    Abstract:

    In this paper we present a low-cost low-Power multifrequency impedance analyzer based on a monolithic mixed-signal (analog/digital) microchip that performs all the tasks necessary to perform impedance measurements in the frequency range from 10kHz to 10MHz. In contrast to a full analog lock-in approach, this mixed-signal solution combines the lock-in approach with the dual step super-heterodyne demodulation scheme. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is e n =2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases to e n =1.8nV/√Hz at 1MHz and e n =1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed low-cost low-Power multifrequency impedance analyzer are compared with a Keysight E4980A Precision LCR Meter showing a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE transactions on biomedical circuits and systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

Daniele Allegri - One of the best experts on this subject based on the ideXlab platform.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE Transactions on Biomedical Circuits and Systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE transactions on biomedical circuits and systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

Achille Donida - One of the best experts on this subject based on the ideXlab platform.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE Transactions on Biomedical Circuits and Systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • ISCAS - CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper we present a monolithic microsystem, which can perform Bio-Impedance Analysis (BIA), and electro impedance tomography (EIT) measurements as well as record electrocardiogram (ECG) signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10kHz to 10MHz in 1kHz steps. The circuit ensures a CMRR of 81dB@10kHz, which increases to 84dB@10MHz. The measured equivalent Input Noise Power spectral density is en=2.57nV/√Hz at 10kHz in the worst case, close to the 1/f corner frequency. It decreases until en=1.8nV/VHz at 1MHz and en=1.9nV/√Hz at 10MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.

  • CMOS-Based Multifrequency Impedance Analyzer for Biomedical Applications
    IEEE transactions on biomedical circuits and systems, 2018
    Co-Authors: Daniele Allegri, Achille Donida, Piero Malcovati, D. Barrettino
    Abstract:

    In this paper, we present a monolithic microsystem, which can perform bioimpedance analysis and electroimpedance tomography measurements as well as record electrocardiogram signals. In contrast to a full analog lock-in approach, a mixed analog/digital solution is adopted. The proposed solution has been designed, implemented, and tested using a commercial 0.35-μm CMOS technology. The tuning range of the signal generator and the detector is from 10 kHz to 10 MHz in 1 kHz steps. The circuit ensures a CMRR of 81 dB@10 kHz, which increases to 84 dB@10 MHz. The measured equivalent Input Noise Power spectral density is en = 2.57 nV/√Hz at 10 kHz in the worst case, close to the 1/f corner frequency. It decreases until en = 1.8 nV/√Hz at 1 MHz and en = 1.9 nV/√Hz at 10 MHz. Measurements of a reference RC network performed with the proposed monolithic solution and compared with a Keysight E4980A Precision LCR Meter shows a maximal relative error of 0.8% over the whole operating frequency range.