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Person# Giovanni Cherubini

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Andreas Peter Burg, Giovanni Cherubini, Lukas Kull, Thomas Toifl

The implementation of a 25.6-Gb/s four-level pulse-amplitude-modulation (4-PAM) reduced-state sliding-block Viterbi detector (VD) is presented. The power consumption of the VD is 105 orilV at a supply voltage of 0.7 V, corresponding to an energy efficiency of 4.1 pJ/b. A data rate of 30.4 Gb/s is achieved with an energy efficiency of 5.3 pith at a supply voltage of 0.8 V. The VD, implemented in an experimental chip fabricated in 14-nm CMOS FINFET, exploits set-partitioning principles and embedded per-survivor decision feedback to reduce implementation complexity and power consumption. The active area of the VD with 12 slices, each operating at one-eighth of the modulation rate, is 0.507 x 0.717 mm(2). Experimental results showing system performance are obtained by using a (2(15)-1)-bit pseudo-random binary sequence. The impact of the synchronization length and survivor path memory length on the detector design and system performance are shown. A new pipelined reduced-state sequence detector algorithm is presented for high-speed implementations. A novel speculative symbol timing recovery scheme is proposed. New simulation results are obtained to compare the performance of the Reed-Solomon (RS)-encoded 4-PAM scheme with that of the concatenated RS 4-D 5-PAM trellis-coded-modulation (TCM) scheme over an ideal band-limited additive-white-Gaussian-noise channel. Drawing on the results achieved for the VD, novel design techniques for a high-speed low-complexity eight-state 4-D 5-PAM TCM decoder is proposed.

Giovanni Cherubini, Paul Hurley, Sanaz Kazemi, Matthieu Martin Jean-André Simeoni

Embodiments include methods for calibrating sensors of one or more sensor arrays. Aspects include accessing one or more beamforming matrices respectively associated to the one or more sensor arrays. Source intensity estimates are obtained for a set of points in a region of interest, based on measurement values as obtained after beamforming signals from the one or more sensor arrays based on the one or more beamforming matrices, assuming fixed amplitude and phase of gains of sensors of the one or more sensor arrays. Estimates of amplitude and phase of the sensor gains are obtained based on: measurement values as obtained before beamforming; and the previously obtained source intensity estimates. The obtained estimates of amplitude and phase can be used for calibrating said sensors.

2017, , ,

The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest as current subsets of points; reconstructing an image based on current subsets of points, by combining signal data associated to the current subsets of points; detecting one or more signal features in a last image reconstructed; for each of the detected one or more signal features, modifying one or more subsets of the current subsets, so as to increase, for each of the modified one or more subsets, a relative number of points at a location of said each of the detected one or more signal features. The relative number of points of a given subset at a given location may be defined as the number of points of said given subset at the given location divided by the total number of points of said given subset, whereby new current subsets of points are obtained; and repeating the above steps of reconstructing, detecting and modifying, as necessary to obtain a reconstructed image that satisfies a given condition.

2017