The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform
Emanuel Radoi - One of the best experts on this subject based on the ideXlab platform.
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digital compensation of Lowpass Filters imperfection in the modulated wideband converter compressed sensing scheme for radio frequency monitoring
Signal Processing, 2018Co-Authors: Lapluat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel RadoiAbstract:Abstract This paper focuses on non-Ideal Filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the Ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-Ideal components, especially Filters. The impact of non-Ideal Filters will trigger to a bad reconstruction. In this paper, a detailed study on non-Ideal Lowpass Filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real Lowpass Filtering step in order to have the Filtered output as close as the Ideal Lowpass Filter output. At last, reconstruction spectra obtained from different simulated Lowpass Filters are compared with different parameters of MWC.
Lapluat Nguyen - One of the best experts on this subject based on the ideXlab platform.
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digital compensation of Lowpass Filters imperfection in the modulated wideband converter compressed sensing scheme for radio frequency monitoring
Signal Processing, 2018Co-Authors: Lapluat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel RadoiAbstract:Abstract This paper focuses on non-Ideal Filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the Ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-Ideal components, especially Filters. The impact of non-Ideal Filters will trigger to a bad reconstruction. In this paper, a detailed study on non-Ideal Lowpass Filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real Lowpass Filtering step in order to have the Filtered output as close as the Ideal Lowpass Filter output. At last, reconstruction spectra obtained from different simulated Lowpass Filters are compared with different parameters of MWC.
Roland Gautier - One of the best experts on this subject based on the ideXlab platform.
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digital compensation of Lowpass Filters imperfection in the modulated wideband converter compressed sensing scheme for radio frequency monitoring
Signal Processing, 2018Co-Authors: Lapluat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel RadoiAbstract:Abstract This paper focuses on non-Ideal Filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the Ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-Ideal components, especially Filters. The impact of non-Ideal Filters will trigger to a bad reconstruction. In this paper, a detailed study on non-Ideal Lowpass Filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real Lowpass Filtering step in order to have the Filtered output as close as the Ideal Lowpass Filter output. At last, reconstruction spectra obtained from different simulated Lowpass Filters are compared with different parameters of MWC.
Anthony Fiche - One of the best experts on this subject based on the ideXlab platform.
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digital compensation of Lowpass Filters imperfection in the modulated wideband converter compressed sensing scheme for radio frequency monitoring
Signal Processing, 2018Co-Authors: Lapluat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel RadoiAbstract:Abstract This paper focuses on non-Ideal Filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the Ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-Ideal components, especially Filters. The impact of non-Ideal Filters will trigger to a bad reconstruction. In this paper, a detailed study on non-Ideal Lowpass Filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real Lowpass Filtering step in order to have the Filtered output as close as the Ideal Lowpass Filter output. At last, reconstruction spectra obtained from different simulated Lowpass Filters are compared with different parameters of MWC.
Gilles Burel - One of the best experts on this subject based on the ideXlab platform.
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digital compensation of Lowpass Filters imperfection in the modulated wideband converter compressed sensing scheme for radio frequency monitoring
Signal Processing, 2018Co-Authors: Lapluat Nguyen, Roland Gautier, Anthony Fiche, Gilles Burel, Emanuel RadoiAbstract:Abstract This paper focuses on non-Ideal Filters in a Modulated Wideband Converter (MWC) scheme. The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate. Generally, the output of the Ideal MWC components will ensure a perfect reconstruction. In practice, the reconstruction should be based on the output of non-Ideal components, especially Filters. The impact of non-Ideal Filters will trigger to a bad reconstruction. In this paper, a detailed study on non-Ideal Lowpass Filters imperfection used in compressed sensing MWC scheme is synthesized. A digital post-treatment scheme with amplitude and phase compensation is proposed after real Lowpass Filtering step in order to have the Filtered output as close as the Ideal Lowpass Filter output. At last, reconstruction spectra obtained from different simulated Lowpass Filters are compared with different parameters of MWC.
